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Tytuł:
Separating I/O from application logic for rule-based control systems
Autorzy:
Wojnicki, I.
Powiązania:
https://bibliotekanauki.pl/articles/375884.pdf
Data publikacji:
2011
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
rule
rule-based
inference
I/O
control system
Opis:
One of the main reasons of using a rule-based approach to program control systems is that they can be formally verified. For such systems communication with the environment is often encoded within the knowledge base. Such inclusion may lead to issues with portability, extendibility, maintainability, and interoperability. The paper proposes a four layer architecture to solve these issues. A proof-of-concept RBS, targeted at control systems, and an example case are also given.
Źródło:
Decision Making in Manufacturing and Services; 2011, 5, 1-2; 79-89
1896-8325
2300-7087
Pojawia się w:
Decision Making in Manufacturing and Services
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Rule based networks : an efficient and interpretable representation of computational models
Autorzy:
Liu, H.
Gegov, A.
Cocea, M.
Powiązania:
https://bibliotekanauki.pl/articles/91698.pdf
Data publikacji:
2017
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
rule based networks
knowledge discovery
predictive modelling
rule representation
Opis:
Due to the vast and rapid increase in the size of data, data mining has been an increasingly important tool for the purpose of knowledge discovery to prevent the presence of rich data but poor knowledge. In this context, machine learning can be seen as a powerful approach to achieve intelligent data mining. In practice, machine learning is also an intelligent approach for predictive modelling. Rule learning methods, a special type of machine learning methods, can be used to build a rule based system as a special type of expert systems for both knowledge discovery and predictive modelling. A rule based system may be represented through different structures. The techniques for representing rules are known as rule representation, which is significant for knowledge discovery in relation to the interpretability of the model, as well as for predictive modelling with regard to efficiency in predicting unseen instances. This paper justifies the significance of rule representation and presents several existing representation techniques. Two types of novel networked topologies for rule representation are developed against existing techniques. This paper also includes complexity analysis of the networked topologies in order to show their advantages comparing with the existing techniques in terms of model interpretability and computational efficiency.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2017, 7, 2; 111-123
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Polish tagger TaKIPI: rule based construction and optimization
Autorzy:
Piasecki, M.
Powiązania:
https://bibliotekanauki.pl/articles/1943261.pdf
Data publikacji:
2007
Wydawca:
Politechnika Gdańska
Tematy:
morphosyntactic tagging
Polish
rule based tagging
decizion trees
Opis:
A large number of different tags, limited corpora and the free word order are the main causes of low accuracy of tagging in Polish (automatic disambiguation of morphological descriptions) by applying commonly used techniques based on stochastic modeling. In the paper the rule-based architecture of the TaKIPI Polish tagger combining handwritten and automatically extracted rules is presented. The possibilities of optimization of its parameters and component are discussed, including the possibility of using different methods of rules extraction, than C4.5 Decision Trees applied initially. The main goal of this paper is to explore a range of promising rule-based classifiers and investigate their impact on the accuracy of tagging. Simple techniques of combing classifiers are also tested. The performed experiments have shown that even a simple combination of different classifiers can increase the tagger's accuracy by almost one percent.
Źródło:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2007, 11, 1-2; 151-167
1428-6394
Pojawia się w:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Exploit relations between the word letters and their placement in the word for Arabic root extraction
Autorzy:
Hawas, F. A.
Powiązania:
https://bibliotekanauki.pl/articles/305644.pdf
Data publikacji:
2013
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
rule-based stemmer
word root
suffixes
prefixes
words patterns
Opis:
This paper presents a new root-extraction approach for Arabic words. The approach tries to assign for Arabic words a unique root without relying on a database of word roots, a list of word patterns or a list of all the prefixes and the suffixes of the Arabic words. Unlike most of Arabic rule-based stemmers, it tries to predict the root-letters positions one by one based on some rules and relations among the word letters and their placement in the word. This paper focuses on two parts of the approach. The first one introduces some rules to distinguish between the Arabic definite article and the permanent component that may found in any Arabic word. The second one classifies Arabic letters in to groups according to their positions in the word. The proposed approach is a system composed of several modules used to extract the word root. The approach has been evaluated using the Holy Quran words. The evaluation results show a promising root extraction algorithm.
Źródło:
Computer Science; 2013, 14 (2); 327-341
1508-2806
2300-7036
Pojawia się w:
Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Design of a rule based monetary policy in a Central Bank Digital Currency System
Autorzy:
Wijngaard, Jacob
Van Hee, Kees
Powiązania:
https://bibliotekanauki.pl/articles/14110259.pdf
Data publikacji:
2021-12-28
Wydawca:
Wyższa Szkoła Bankowa we Wrocławiu
Tematy:
Design
CBDC
Rule-based
Monetary policy
Inflation correction
Domestic product proxy
Opis:
Aim: This paper presupposes a purely Central Bank Digital Currency (CBDC) based system. Its aim is to describe how such a system facilitates complete new possibilities to design a suitable monetary policy. More specifically, the purpose is to show that the available monetary tools can be used to design a rule-based monetary policy that guarantees stability of purchasing power and interest rates. Research methods: The paper is design oriented. It describes how the monetary system could function The important monetary variables are defined and their relationship is described. To illustrate these variables and their relationship, simulation results of their behavior are added. Conclusions: It is shown that it is indeed possible to design a monetary policy that is rule based and guarantees stability of purchasing power and interest rates. Crucial elements in the design are linking the balances of the CBDC-accounts to a proxy of the domestic product and replacing the use of government bonds by allowing the government to borrow from the Central Bank and giving households and businesses the opportunity to open a savings account at the Central Bank. Originality: The approach is completely new. It is the result of rethinking the possibilities of a complete transition of bank money to CBDC. Implications: The paper shows that a more absolute transition to the use of CBDC makes it possible to establish a clearer and more stable monetary practice, and that it is necessary therefore to revise monetary theory.
Źródło:
Central European Review of Economics and Management; 2021, 5, 4; 61-95
2543-9472
Pojawia się w:
Central European Review of Economics and Management
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Design of a Rules-Based Recommendation System Implemented in Prolog for the Management of Electronic Waste from ICT
Autorzy:
Dallos Parra, David Leonardo
Carvajal Camargo, Maryury Julieth
Sánchez Céspedes, Juan Manuel
Powiązania:
https://bibliotekanauki.pl/articles/2027979.pdf
Data publikacji:
2021
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
electronic waste
recycling
rule-based system
information and communication technologies
Prolog
Opis:
Electronic waste generated from Information and Communication Technologies (ICT) has become a global issue as this represents a negative impact on both environment and human health. Consequently, it is noticeably useful to develop tools to soften such impact. Therefore, this article presents a rules-based system implemented in Prolog aiming at guiding ICT devices users towards good practices on electronic waste management to diminish the negative impact. The methodologies employed include exploratory, descriptive, and experimental. Even though the system developed in Prolog was found to be deficient with user interface, it is also functional and efficient, including features like usability and maintainability. In conclusion, it was found that waste recollection systems may be useful for both environmental management processes in different countries and also positive business opportunities.
Źródło:
Journal of Ecological Engineering; 2021, 22, 11; 104-113
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
HeaRT rule inference engine in intelligent systems
Wykorzystanie regułowego silnika wnioskującego HeaRT w systemach inteligentnych
Autorzy:
Bobek, S.
Powiązania:
https://bibliotekanauki.pl/articles/275293.pdf
Data publikacji:
2011
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
silniki wnioskowania
reguły
systemy regułowe
inference engine
rules
rule-based systems
Opis:
Rules are one of the most important knowledge representation methods. Rule-based expert systems proved to be a successful AI technology in a number of areas. Building such systems requires creating a rule-base, as well as providing an effective inference mechanism that fires rules appropriate in a given context. Building and maintaining such a rule-base is a very difficult task and can be supported by a sepcially designed tools. Due to the fact that inference engines usually are parts of such tools it is difficult to integrate such expert systems with external software. In this paper a custom inference engine was presented, that implements three inference algorithms and can be easily integrated with other systems. Its usage in selected intelligent systems was also described.
Reguły są jedną z najważniejszych metod reprezentacji wiedzy. Systemy ekspertowe oparte na regułowej bazie wiedzy są istotną technologią w zastosowaniach sztucznej inteligencji w różnych dziedzinach. Budowanie takich systemów wymaga stworzenia bazy wiedzy, jak również dostarczenia wydajnego mechanizmu pozwalającego na uruchamianie reguł i wnioskowanie. Budowanie bazy wiedzy i zarządzanie nią jest bardzo trudnym zadaniem. Może ono być wspierane poprzez narzędzia przeznaczone do tego celu, jednak ponieważ silniki wnioskujące zazwyczaj stanowa integralną część takich narzędzi, integracja ich z zewnętrznym oprogramowanie stanowi jeszcze trudniejsze zadanie. W niniejszym artykule opisany został nowy regułowy silnik wnioskujący, pozwalający na stosowanie kilku algorytmów wnioskowania i łatwą integrację z innymi systemami. Przedstawione zostało również jego zastosowanie w wybranych inteligentnych systemach komputerowych.
Źródło:
Pomiary Automatyka Robotyka; 2011, 15, 12; 226-228
1427-9126
Pojawia się w:
Pomiary Automatyka Robotyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Defining the semantics of rule-based Web applications through model-driven development
Autorzy:
Canadas, J.
Palma, J.
Túnez, S.
Powiązania:
https://bibliotekanauki.pl/articles/907818.pdf
Data publikacji:
2011
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
systemy regułowe
aplikacja sieciowa
model-driven development
rule-based systems
web applications
Opis:
Rule languages and inference engines incorporate reasoning capabilities to Web information systems. This paper presents an approach for the specification and development of Web applications performing the usual functionalities of data management and incorporating a rule engine for reasoning capabilities. The proposed approach is based on the definition of a high-level representation of the semantics of rule-based applications through a formalism for conceptual modeling combining lightweight ontologies and production rules. These models are used as the source for a model-driven method that applies several transformations to conceptual models generating the rule-based Web application code in an automatic process. As a result, the rule-based Web application embeds a rule engine suitable for deducing information by applying an inference process. The structure of the information managed by the Web application is based on ontology classes, whereas the logical expressions applied in reasoning are obtained from production rules of the model. A rule-based Web application has been developed and evaluated using a supporting tool that implements the ideas presented in this paper.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2011, 21, 1; 41-55
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Negative feature selection algorithm for anomaly detection in real time
Autorzy:
Hryniów, K.
Dzieliński, A.
Powiązania:
https://bibliotekanauki.pl/articles/92969.pdf
Data publikacji:
2011
Wydawca:
Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
Tematy:
anomaly detection
feature selection
frequent pattern mining
neural networks
rule-based systems
Opis:
Anomaly detection methods are of common use in many fields, including databases and large computer systems. This article presents new algorithm based on negative feature selection, which can be used to find anomalies in real time. Proposed algorithm, called Negative Feature Selection algorithm (NegFS) can be also used as first step for preprocessing data analyzed by neural networks, rule-based systems or other anomaly detection tools, to speed up the process for large and very large datasets of different types.
Źródło:
Studia Informatica : systems and information technology; 2011, 1-2(15); 15-23
1731-2264
Pojawia się w:
Studia Informatica : systems and information technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Towards the Methodology for Extending Princeton WordNet
Autorzy:
Rudnicka, Ewa Katarzyna
Witkowski, Wojciech
Kaliński, Michał
Powiązania:
https://bibliotekanauki.pl/articles/676992.pdf
Data publikacji:
2015
Wydawca:
Polska Akademia Nauk. Instytut Slawistyki PAN
Tematy:
wordnet extension
lexico-semantic relations
I-hyponymy links
rule-based algorithms
lexical gaps
Opis:
Towards the Methodology for Extending Princeton WordNetThe paper presents the methodology and results of the first, pilot stage of the extension of Princeton WordNet, a huge electronic English language thesaurus and lexico-semantic network based on synsets, ie. sets of synonymous lexical units, or lemma sense pairs. The necessity for such extension arose in the course of mapping plWordNet (Polish WordNet - Słowosieć) onto Princeton WordNet, which produced a large number of inter-lingual hyponymy links signalling differences in the structure and lexical coverage of the two networks. The proposed strategy uses I-hyponymy links as pointers to presumed gaps in the lexical coverage of PrincetonWordNet and offers strategies of filling them in with new lexical units and synsets.
Źródło:
Cognitive Studies; 2015, 15
2392-2397
Pojawia się w:
Cognitive Studies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Towards al-based distributed lighting control systems
W kierunku inteligentnych, rozproszonych systemów sterowania oświetleniem
Autorzy:
Wojnicki, I.
Sędziwy, A.
Kotulski, L.
Powiązania:
https://bibliotekanauki.pl/articles/282118.pdf
Data publikacji:
2012
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
oświetlenie
LED
reguły
sztuczna inteligencja
graf
hipergraf
lighting
rules
rule-based
graph
hypergraph
AI
Opis:
The paper discusses an approach which is targeted at obtaining maximal benefits of contemporary advanced lighting systems. The benefits are expressed in terms of improved energy efficiency (i.e. lower power consumption) or citizens ąuality of life. Applying proposed solution one could use intelligent control methods which functionality goes far beyond simple preset lighting scenarios as it is present in existing commercial systems. The main problem tackled here is a high complexity of control algorithms related to a size of a state space compound of lighting profiles, fixtures' working parameters and varying environment conditions. The proposed method, designed for solving this issue, is using decom-posable graph representations of the environment under control, and multiagent system deployed on it. An important component of the system is a rule-based engine, adapting lighting control parameters to actual environment needs.
Artykuł przedstawia podejście nastawione na maksymalizację korzyści płynących z zastosowania zaawansowanych systemów oświetlenia tj. poprawę wydajności energetycznej (np. zmniejszenie poboru energii) oraz polepszenie jakości życia. Proponowane rozwiązanie, bazujące na koncepcji inteligentnego sterowania, udostępnia funkcje dotychczas niespotykane w oferowanych komercyjnie produktach. Problemem, w przypadku systemów oświetlenia, jest duża złożoność obliczeniowa algorytmów sterujących. Związane jest to z rozbudowaną przestrzenią stanów dla takiego systemu reprezentującą różne profile oświetlenia, parametry pracy punktów świetlnych oraz warunki środowiska. Zaproponowane podejście rozwiązuje ten problem poprzez zastosowanie dekomponowalnej reprezentacji grafowej oraz środowiska wieloagentowego przetwarzającego takie grafy. Istotnym elementem rozwiązania jest system regułowy określający parametry sterowania dla poszczególnych punktów świetlnych w zależności od zapotrzebowania.
Źródło:
Automatyka / Automatics; 2012, 16, 2; 189-198
1429-3447
2353-0952
Pojawia się w:
Automatyka / Automatics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fuzzy model for the information and decision making support system for the CFM branch company
Autorzy:
Walaszek-Babiszewska, A.
Chudzicki, M.
Powiązania:
https://bibliotekanauki.pl/articles/118161.pdf
Data publikacji:
2006
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
managerial decisions
fuzzy rule-based model
car fleet management
MIS
application requirements
customer segmentation
Opis:
The aim of this work is to present the ways of improvement the management process in the CFM company, by developing and implementing the Management Information System (MIS). In the first chapter the characteristic of Car Fleet Management company is presented. The second chapter describes how MIS could support management of that type of company, as well as general and functional requirements of the computer application. Third chapter presents an example of methodology of solving selected decision-making problem using a fuzzy rule-based model.
Źródło:
Applied Computer Science; 2006, 2, 1; 110-121
1895-3735
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
How to secure a high quality knowledge base in a rule-based system with uncertainty?
Autorzy:
Jankowska, B. M.
Powiązania:
https://bibliotekanauki.pl/articles/908411.pdf
Data publikacji:
2006
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
systemy regułowe
niepewność
baza wiedzy
rule-based systems
uncertainty
knowledge base
truth maintenance module
Opis:
Although the first rule-based systems were created as early as thirty years ago, this methodology of expert systems designing still proves to be useful. It becomes especially important in medical applications, while treating evidence given in an electronic format. Constructing the knowledge base of a rule-based system and, especially, of a system with uncertainty is a difficult task because of the size of this base as well as its heterogeneous character. The base consists of facts, ordinary rules and meta-rules, which differ from each other regarding both the syntax structure and the semantics. Having no tool to aid designing and maintaining the knowledge base of a rule-based system with uncertainty, we propose the algebra of rules with uncertainty which gives us theoretical foundations to build such a tool. Using the tool, it will be possible to indicate the facts and rules of a redundant character, as well as the pairs of facts and the pairs of rules which are contradictory to each other. The above tool is used in designing and maintaining the knowledge base of a system intended to prognosticate the effects of a medical treatment of the bronchial asthma disease.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2006, 16, 2; 251-262
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
HiPHET : hybrid approach for translating code-mixed language (Hinglish) to pure languages (hindi and english)
Autorzy:
Attri, Shree Harsh
Prasad, T. V.
Ramakrishna, G.
Powiązania:
https://bibliotekanauki.pl/articles/1839239.pdf
Data publikacji:
2020
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
code-mixed language
pure language
Hinglish
hybrid language
machine translation
HiPHET
rule based MT
Opis:
Bilingual code-mixed (hybrid) languages have become very popular in India as a result of the spread of technology in the form of television, the Internet, and social media. Due to this increase in the use of code-mixed languages in day-to-day communication, the need for maintaining the integrity of the Indian languages has arisen. As a result of this, a tool named Hinglish to Pure Hindi and English Translator was developed. The tool is capable of translating in three ways; namely, Hinglish into pure Hindi and English, pure Hindi into pure English, and vice versa. The tool has achieved an accuracy of 91% in giving Hindi sentences and of 84% in giving English sentences as output when the input sentences were in Hinglish. The tool has also been compared with another similar tools.
Źródło:
Computer Science; 2020, 21 (3); 371-391
1508-2806
2300-7036
Pojawia się w:
Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Budowa hybrydowego systemu ekspertowego wspomagającego diagnozowanie kombajnu do zbioru zbóż BIZON Z058
Building of the hybryd expert system aiding diagnostics of the harvester BIZON Z058
Autorzy:
Rychlik, A.
Wierzbicki, S.
Powiązania:
https://bibliotekanauki.pl/articles/329344.pdf
Data publikacji:
2005
Wydawca:
Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:
hybrydowy system ekspertowy
analiza obiektowa
wiedza regułowa i proceduralna
hybrid expert system
object analysis
rule based and procedure-based knowledge
Opis:
W pracy przedstawiono budowę Hybrydowego Systemu Ekspertowego wspomagającego diagnozowanie kombajnu do zbóż. Zaprezentowano istotę diagnozowania, strukturę, cechy oraz funkcje programu. Opisany poniżej Hybrydowy System Ekspertowy jest statycznym systemem ekspertowym dla wiedzy regułowej oraz dynamicznym dla wiedzy proceduralnej. Zadaniem tego systemu jest identyfikacja stanów niezdatności maszyny samojezdnej z wykorzystaniem różnych środków reprezentacji wiedzy (w postaci reguł i algorytmów diagnozowania) oraz metod jej identyfikacji.
Building of the hybrid expert system aiding diagnostics of the harvester Z058 was presented in the paper. The essence of diagnosing, software structure and system features were described. The hybrid expert system, presented below, is a static expert system for rule-based knowledge and a dynamic one for procedure-based knowledge. The purpose of this system is identification of non-operational states of self-propelled machines by use of different knowledge representation means (in the form of the rules and diagnosing algorithms) and their identification methods.
Źródło:
Diagnostyka; 2005, 33; 151-156
1641-6414
2449-5220
Pojawia się w:
Diagnostyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A programmable inference controller meeting highest safety requirements
Autorzy:
Vogrin, P.
Halang, W. A.
Powiązania:
https://bibliotekanauki.pl/articles/384548.pdf
Data publikacji:
2010
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
safety methoded control
safety-licensing
programmable electronic system
set-pair preprocessor
rule-based control
fuzzy control
Opis:
A programmable controller suited for automation applications of highest safety criticality is presented. Its features are input conditioning by low-resolution analogue-to-digital converters, inference by look-up in rule set tables, strictly periodic and jitter-free operation, high speed and simplicity of design. A fail-safe supervisor immediately initiates an emergency shut-down in case of a malfunction. The software in form of rule base tables can easily be verified by inspection. This device is used to implement control algorithms working with set-point preprocessors, which calculate internal set-point graphs of controlled variables in such a way that very high controller gains are attainable and, thus, stability is increased. The performance of these „SPP” controllers is closer to the „best physically possible”, and much more predictable than the one of conventional control structures. The otherwise conficting design objectives stability, safety, high speed, small energy consumption, or steady and harmonic temporal controller output values can nearly all be achieved.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2010, 4, 1; 8-19
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The HeKatE methodology. Hybrid engineering of intelligent systems
Autorzy:
Nalepa, G. J.
Ligęza, A.
Powiązania:
https://bibliotekanauki.pl/articles/907775.pdf
Data publikacji:
2010
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
system ekspertowy
system regułowy
sterowanie inteligentne
projektowanie systemu
rule-based expert systems
intelligent control
system design
Opis:
This paper describes a new approach, the HeKatE methodology, to the design and development of complex rule-based systems for control and decision support. The main paradigm for rule representation, namely, eXtended Tabular Trees (XTT), ensures high density and transparency of visual knowledge representation. Contrary to traditional, flat rule-based systems, the XTT approach is focused on groups of similar rules rather than on single rules. Such groups form decision tables which are connected into a network for inference. Efficient inference is assured as only the rules necessary for achieving the goal, identified by the context of inference and partial order among tables, are fired. In the paper a new version of the language-XTT2-is presented. It is based on ALSV(FD) logic, also described in the paper. Another distinctive feature of the presented approach is a top-down design methodology based on successive refinement of the project. It starts with Attribute Relationship Diagram (ARD) development. Such a diagram represents relationships between system variables. Based on the ARD scheme, XTT tables and links between them are generated. The tables are filled with expert-provided constraints on values of the attributes. The code for rule representation is generated in a humanreadable representation called HMR and interpreted with a provided inference engine called HeaRT. A set of software tools supporting the visual design and development stages is described in brief.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2010, 20, 1; 35-53
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A three-level aggregation model for evaluating software usability by fuzzy logic
Autorzy:
Rakovská, Eva
Hudec, Miroslav
Powiązania:
https://bibliotekanauki.pl/articles/331401.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
measuring software usability
rule-based system
fuzzy quantifiers
aggregation function
questionnaire
system regułowy
kwantyfikator rozmyty
funkcja agregacji
Opis:
Rapid deployment of IT brings about new issues with software usability measurement. Usability is based on users’ experience and is strongly subjective, having a qualitative character. The users’ comfort is usually collected by surveys in their daily work. The present article stems from an experimental study related to the evaluation of the usability of tools by a rule-based system. The work suggests a robust computational model that will be able to avoid the main problems arising from the experimental study (a large and less-legible rule base) and to deal with the vagueness of IT user experience, different levels of skills and various numbers of filled questionnaires in different departments. The computational model is based on three hierarchical levels of aggregation supported by fuzzy logic. Choices for the most suitable aggregation functions in each level are advocated and illustrated with examples. The number of questions and granularity of answers in this approach can be adjusted to each user group, which could reduce the response burden and errors. Finally, the paper briefly describes further possibilities of the suggested approach.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2019, 29, 3; 489-501
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Designing medical production rules from semantically integrated data
Autorzy:
Jankowska, B.
Szymkowiak, M.
Powiązania:
https://bibliotekanauki.pl/articles/333095.pdf
Data publikacji:
2010
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
integracja danych semantycznych
medyczne systemy oparte na regułach
niepewność
semantic data integration
medical rule-based systems
uncertainty
Opis:
In the paper an algorithm for automatic knowledge acquisition is proposed. The knowledge is acquired from aggregate data stored in different repositories. The algorithm operates by means of semantic data integration, allowing both syntax and semantic differences between data coming from different sources. If only we know data taxonomies, can interpret data schemas and design schema mappings, then the differences are not an obstacle to integration. The acquired knowledge is being defined in a form of production rules with uncertainty. The considerations are illustrated with medical examples.
Źródło:
Journal of Medical Informatics & Technologies; 2010, 16; 95-102
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Hybrid Learning of Interval Type-2 Fuzzy Systems Based on Orthogonal Least Squares and Back Propagation for Manufacturing Applications
Autorzy:
Mendez, G.
Hernandez, A.
Powiązania:
https://bibliotekanauki.pl/articles/384517.pdf
Data publikacji:
2008
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
type-2 fuzzy inference systems
type-2 neuro-fuzzy systems
hybrid learning
uncertain rule-based fuzzy logic systems
Opis:
This paper presents a novel learning methodology based on the hybrid algorithm for interval type-2 (IT2) fuzzy logic systems (FLS). Since in the literature only back-propagation method has been proposed for tuning of both antecedent and consequent parameters of type-2 fuzzy logic systems, a hybrid learning algorithm has been developed. The hybrid method uses recursive orthogonal least-squares method for tuning of consequent parameters as well as the back-propagation method for tuning of antecedent parameters. The systems were tested for three types of inputs: a) interval singleton b) interval type-1 (T1) non-singleton, c) interval type-2 non-singleton. The experimental results of the application of the hybrid interval type-2 fuzzy logic systems for scale breaker entry temperature prediction in a real hot strip mill were carried out for three different types of coils. They proved the feasibility of the systems developed here for scale breaker entry temperature prediction. Comparison with type-1 fuzzy logic systems shows that the hybrid learning interval type-2 fuzzy logic systems improve performance in scale breaker entry temperature prediction under the tested condition.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2008, 2, 1; 23-32
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multi-Criteria Decision Analysis (MCDA) methods in Life-Cycle Assessment (LCA) : a comparison of private passenger vehicles
Autorzy:
Macioł, A.
Rębiasz, B.
Powiązania:
https://bibliotekanauki.pl/articles/406360.pdf
Data publikacji:
2018
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
environmental indicators
life cycle assessment (LCA)
LCA
multicriteria decision analysis
MCDA
rule-based MCDA
fuzzy reasoning in MCDA
Opis:
Analogies between the life cycle assessment (LCA) and multicriteria decision analysis (MCDA) methodologies have been discussed as well as LCA as an MCDA problem for resolving the trade-offs between multiple environmental objectives. The objective of this study is to compare a variety of specialised multicriteria methods and knowledge-based methods used to aggregate the results from LCA. The studies were conducted using examples of LCA on private passenger vehicles. The research used two classical methods for multicriteria decision making (AHP and TOPSIS), the method of conventional (crisp) reasoning and Mamdani’s method of fuzzy inference. The results demonstrate that among the methods analysed, only crisp reasoning does not provide satisfactory results.
Źródło:
Operations Research and Decisions; 2018, 28, 1; 5-26
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A new approach for the clustering using pairs of prototypes
Autorzy:
Jezewski, M.
Czabanski, R.
Leski, J.
Horoba, K.
Powiązania:
https://bibliotekanauki.pl/articles/333693.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
fuzzy clustering
pairs of prototypes
fuzzy rule-based classification
grupowanie rozmyte
pary prototypów
rozmyta klasyfikacja oparta na regułach
Opis:
In the presented work two variants of the fuzzy clustering approach dedicated for determining the antecedents of the rules of the fuzzy rule-based classifier were presented. The main idea consists in adding additional prototypes (’prototypes in between’) to the ones previously obtained using the fuzzy c-means method (ordinary prototypes). The ’prototypes in between’ are determined using pairs of the ordinary prototypes, and the algorithm based on distances and densities finding such pairs was proposed. The classification accuracy obtained applying the presented clustering approaches was verified using six benchmark datasets and compared with two reference methods.
Źródło:
Journal of Medical Informatics & Technologies; 2015, 24; 113-121
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Knowledge discovery in data in construction projects
Odkrywanie wiedzy z danych w przedsięwzięciach budowlanych
Autorzy:
Szelka, J.
Wrona, Z.
Powiązania:
https://bibliotekanauki.pl/articles/230754.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
wnioskowanie
przedsięwzięcie budowlane
odkrywanie wiedzy
dane
reprezentacja
wiedza regułowa
inference
engineering project
discovering knowledge
data
rule-based knowledge
representation
Opis:
Decision-making processes, including the ones related to ill-structured problems, are of considerable significance in the area of construction projects. Computer-aided inference under such conditions requires the employment of specific methods and tools (non-algorithmic ones), the best recognized and successfully used in practice represented by expert systems. The knowledge indispensable for such systems to perform inference is most frequently acquired directly from experts (through a dialogue: a domain expert - a knowledge engineer) and from various source documents. Little is known, however, about the possibility of automating knowledge acquisition in this area and as a result, in practice it is scarcely ever used. lt has to be noted that in numerous areas of management more and more attention is paid to the issue of acquiring knowledge from available data. What is known and successfully employed in the practice of aiding the decision-making is the different methods and tools. The paper attempts to select methods for knowledge discovery in data and presents possible ways of representing the acquired knowledge as well as sample tools (including programming ones), allowing for the use of this knowledge in the area under consideration.
Problemy decyzyjne w obszarze przedsięwzięć budowlanych charakteryzują się w wielu przypadkach słabym poziomem ustrukturyzowania. W procesie wnioskowania stosuje się wówczas często metody heurystyczne. Wśród nich szczególne znaczenie należy przypisać wnioskowaniu eksperckiemu. Informatyczne wspomaganie tych przedsięwzięć jest realizowane przy użyciu systemów ekspertowych. Jednym z ważniejszych czynników warunkujących skuteczność wnioskowania jest jakość wiedzy, wykorzystywanej do wypracowania decyzji. Przedsięwzięcie pozyskiwania wiedzy od ekspertów dziedzinowych zaliczane jest do najbardziej pracochłonnych i kosztownych etapów tworzenia bazy wiedzy. Znaczny poziom złożoności procesów związanych z akwizycją wiedzy eksperckiej w obszarze przedsięwzięć budowlanych, jej czasochłonność i duże koszty stały się przesłanką do poszukiwania innych możliwości w zakresie pozyskiwania wiedzy (w tym – automatyzacji pozyskiwania wiedzy).
Źródło:
Archives of Civil Engineering; 2016, 62, 2; 217-228
1230-2945
Pojawia się w:
Archives of Civil Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Porównanie algorytmów wnioskowania klasycznego i rozmytego na przykładzie systemu wspomagania decyzji personalnych menedżera
Comparison of algorithms classic and fuzzy inference on example of manager’s personnel decision support system
Autorzy:
Ćwiklińska, I.
Nowak-Brzezińska, A.
Powiązania:
https://bibliotekanauki.pl/articles/327040.pdf
Data publikacji:
2016
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
regułowe bazy wiedzy
system ekspertowy
wnioskowanie klasyczne
wnioskowanie rozmyte
rule-based knowledge base
expert systems
classic inference
fuzzy inference
Opis:
Celem pracy jest porównanie działania algorytmów wnioskowania dwuwartościowego i rozmytego. Artykuł zawiera opis teoretycznych podstaw działania obu algorytmów, użycia każdego z nich w innej wersji systemu wspomagania decyzji menedżera. Następnie pokazano bazę wiedzy oraz dokładny algorytm wnioskowania, a także przykład użycia w praktyce systemu z wnioskowaniem klasycznym. Ostatnią częścią pracy jest opis analizy podobieństw i różnic pomiędzy algorytmami oraz wynikających z niej wniosków.
The aim of the study is to compare operation of divalent and fuzzy inference. The article contains describing the theoretical basis of operation of both algorithms and illustrated is to use each of them with a different version of the manager’s decision support system. Next is shown knowledge base and accurate inference algorithm and also example of use system of classic inference in practice. The last part of the work is to describe the analysis of the similarities and differences between algorithms and of its conclusions.
Źródło:
Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska; 2016, 92; 21-30
1641-3466
Pojawia się w:
Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The application of the fuzzy rule-based Bayesian algorithm to determine which residential appliances can be considered for the demand response program
Autorzy:
Kapler, Piotr
Powiązania:
https://bibliotekanauki.pl/articles/27311421.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
demand response
residential power consumers
uncertainty
fuzzy rule-based Bayesian
reagowanie na popyt
niepewność
odbiorcy energii lokalni
algorytmy bayesowskie
Opis:
This paper proposes the usage of the fuzzy rule-based Bayesian algorithm to determine which residential appliances can be considered for the Demand Response program. In contrast with other related studies, this research recognizes both randomness and fuzziness in appliance usage. Moreover, the input data for usage prediction consists of nodal price values (which represent the actual power system conditions), appliance operation time, and time of day. The case study of residential power consumer behavior modeling was implemented to show the functionality of the proposed methodology. The results of applying the suggested algorithm are presented as colored 3D control surfaces. In addition, the performance of the model was verified using R squared coefficient and root mean square error. The conducted studies show that the proposed approach can be used to predict when the selected appliances can be used under specific circumstances. Research of this type may be useful for evaluation of the demand response programs and support residential load forecasting.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2023, 71, 4; art. no. e146106
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
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