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Wyszukujesz frazę "fuzzy logic systems" wg kryterium: Temat


Tytuł:
A fuzzy cognitive situation awareness for airport security
Autorzy:
Furno, D.
Loia, V.
Veniero, M.
Powiązania:
https://bibliotekanauki.pl/articles/970200.pdf
Data publikacji:
2010
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
fuzzy logic
fuzzy control
situation awareness
agent systems
airport security
semantic modeling
Opis:
Situation awareness is a crucial factor in decision-making. It involves monitoring and identification of relationships among the state changing objects in collaborative dynamic environments. In the domain of airport security a critical need is to support security operators in real-time management of risky airside scenarios. This work relies on a fuzzy cognitive ontology-based approach to model situation awareness and introduces an agent-based distributed evaluation architecture to address the problem. Specifically, in order to model situation awareness this work instantiates and integrates two assessed ontological meta-models, Situation Theory Ontology (STO) and Saw Core Ontology (SAW), extended to cope with uncertainty when modeling relations among objects occurring in the addressed dynamic environment. Many task-oriented soft computing agents are in charge of monitoring the modeled situations while distributing the information evaluation process leads to achieving better real-time like performance.
Źródło:
Control and Cybernetics; 2010, 39, 4; 960-982
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Methodological Proposal for Implementing Interval Type-2 Fuzzy Processors Over Digital Signal Controllers
Autorzy:
Forero, L. L.
Melgarejo, M.
Powiązania:
https://bibliotekanauki.pl/articles/108748.pdf
Data publikacji:
2010
Wydawca:
Społeczna Akademia Nauk w Łodzi
Tematy:
fuzzy logic
Type-2 fuzzy systems
Fuzzy hardware
embedded systems
Opis:
This article presents a methodological proposal for implementing interval type-2 fuzzy processors over digital signal controller technology. We describe the main considerations that a practitioner or an engineer should follow when implementing an interval type-2 fuzzy system over an embedded processor. These considerations guide the implementation study of eight interval type-2 fuzzy processors, which are fully characterized and tested. Results show that by combining fast computing strategies and technologies like digital signal controllers, the inference time of an embedded type-2 fuzzy processor can be set to hundreds of microseconds.
Źródło:
Journal of Applied Computer Science Methods; 2010, 2 No. 1; 61-81
1689-9636
Pojawia się w:
Journal of Applied Computer Science Methods
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A new fuzzy design for switching gain adaptation of sliding mode controller for a wind energy conversion system using a doubly fed induction generator
Autorzy:
Horch, Mohamed
Chemidi, Abdelkarim
Baghli, Lotfi
Kadi, Sara
Powiązania:
https://bibliotekanauki.pl/articles/2202557.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
chattering phenomenon
doubly fed induction generator
fuzzy logic gain adaptation
sliding mode control
vector control
wind energy conversion systems
Opis:
The paper proposes a newrobust fuzzy gain adaptation of the sliding mode (SMC) power control strategy for the wind energy conversion system (WECS), based on a doubly fed induction generator (DFIG), to maximize the power extracted from the wind turbine (WT). The sliding mode controller can deal with any wind speed, ingrained nonlinearities in the system, external disturbances and model uncertainties, yet the chattering phenomenon that characterizes classical SMC can be destructive. This problem is suitably lessened by adopting adaptive fuzzy-SMC. For this proposed approach, the adaptive switching gains are adjusted by a supervisory fuzzy logic system, so the chattering impact is avoided. Moreover, the vector control of the DFIG as well as the presented one have been used to achieve the control of reactive and active power of the WECS to make the wind turbine adaptable to diverse constraints. Several numerical simulations are performed to assess the performance of the proposed control scheme. The results show robustness against parameter variations, excellent response characteristics with a reduced chattering phenomenon as compared with classical SMC.
Źródło:
Archives of Electrical Engineering; 2023, 72, 1; 273--291
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A novel approach to type-reduction and design of interval type-2 fuzzy logic systems
Autorzy:
Starczewski, Janusz T.
Przybyszewski, Krzysztof
Byrski, Aleksander
Szmidt, Eulalia
Napoli, Christian
Powiązania:
https://bibliotekanauki.pl/articles/2147137.pdf
Data publikacji:
2022
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
smooth type-reduction
interval type-2 fuzzy logic systems
Opis:
Fuzzy logic systems, unlike black-box models, are known as transparent artificial intelligence systems that have explainable rules of reasoning. Type 2 fuzzy systems extend the field of application to tasks that require the introduction of uncertainty in the rules, e.g. for handling corrupted data. Most practical implementations use interval type-2 sets and process interval membership grades. The key role in the design of type-2 interval fuzzy logic systems is played by the type-2 inference defuzzification method. In type-2 systems this generally takes place in two steps: type-reduction first, then standard defuzzification. The only precise type-reduction method is the iterative method known as Karnik-Mendel (KM) algorithm with its enhancement modifications. The known non-iterative methods deliver only an approximation of the boundaries of a type-reduced set and, in special cases, they diminish the profits that result from the use of type-2 fuzzy logic systems. In this paper, we propose a novel type-reduction method based on a smooth approximation of maximum/minimum, and we call this method a smooth type-reduction. Replacing the iterative KM algorithm by the smooth type-reduction, we obtain a structure of an adaptive interval type-2 fuzzy logic which is non-iterative and as close to an approximation of the KM algorithm as we like.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2022, 12, 3; 197--206
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An analytical insight to investigate the research patterns in the realm of Type-2 fuzzy logic
Autorzy:
Vij, S.
Jain, A.
Tayal, D.
Castillo, O.
Powiązania:
https://bibliotekanauki.pl/articles/951726.pdf
Data publikacji:
2018
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
scientometric analysis
Type 2 fuzzy logic
Type 2 fuzzy systems
Type 2 fuzzy control
Type 2 fuzzy set
analiza scjentometryczna
logika rozmyta typu 2
systemy rozmyte typu 2
Opis:
Fuzzy logic has always been one of the key research areas in the field of computer science as it helps in dealing with the real world vagueness and uncertainty. In recent years, a variant of it, Type-2 Fuzzy Logic has gained enormous popularity for research purposes. In this paper, an analytical insight is provided into the research patterns of Type-2 Fuzzy logic. Web of Science has been used as the data source which consists of Science Citation Index- Expanded (SCI-E), SSCI, A&HCI and ESCI indexed research papers. 600 research papers were extracted from it in the field of Type-2 fuzzy logic from the year 2000 to 2016, which are analyzed both manually and in an automated manner. The performed study is Scientometric in nature and helps in answering research questions like control terms and top authors in this field, the growth pattern in research publications, top funding agencies and countries etc. The major goal of this study is to analyze the research work in type-2 fuzzy logic so as to track the growth of this discipline through the years and envision future trends in this area.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2018, 12, 2; 3-32
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An optimized soft computing-based passage retrieval system
Autorzy:
Ortiz-Arroyo, D.
Christensen, H. U.
Powiązania:
https://bibliotekanauki.pl/articles/970939.pdf
Data publikacji:
2009
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
information retrieval
question answering systems
passage retrieval
fuzzy logic
optimization
genetic algorithms
Opis:
In this paper we propose and evaluate a soft computing-based passage retrieval system for Question Answering Systems (QAS). Fuzzy PR, our base-line passage retrieval system, employs a similarity measure that attempts to model accurately the question reformulation intuition. The similarity measure includes fuzzy logic-based models that evaluate efficiently the proximity of question terms and detect term variations occurring within a passage. Our experimental results using FuzzyPR on the TREC and CLEF corpora show that our novel passage retrieval system achieves better performance compared to other similar systems. Finally, we describe the performance results of OptFuzzyPR, an optimized version of FuzzyPR, created by optimizing the values of FuzzyPR system parameters using genetic algorithms.
Źródło:
Control and Cybernetics; 2009, 38, 2; 457-479
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Badania nad możliwością zastosowania logiki rozmytej w systemach wspomagania decyzji przy kontroli zagrożenia gazowego
Research on possibility of use of fuzzy logic in decision support systems in gas hazard control
Autorzy:
Grychowski, T.
Powiązania:
https://bibliotekanauki.pl/articles/152478.pdf
Data publikacji:
2008
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
systemy wspomagania decyzji
logika rozmyta
monitorowanie zagrożenia
decision support systems
fuzzy logic
hazard monitoring
gas measurements
Opis:
W artykule przedstawiono wyniki badań nad możliwością wykorzystania logiki rozmytej do wspomagania dyspozytora podczas kontroli zagrożenia gazowego w górnictwie. Zagrożenie powodowane jest przez niekorzystne dla załogi zmiany atmosfery kopalnianej. Zbudowano eksperymentalne stanowisko pomiarowe z urządzeniami do pomiaru parametrów atmosfery. Opracowano szereg programów wspomagania dyspozytora wykorzystujących modele rozmyte, gdyż zauważono dość duży wpływ czynnika ludzkiego przy bieżącej analizie danych pomiarowych napływających z monitorowanego rejonu.
In this paper the research is about utilization of fuzzy logic to support an operator of hazard monitoring system of coal mine atmosphere are presented. The hazard be caused by unfavourable changes of mine atmosphere. There were proposed new solutions based on quality analyses of measured data. Basing on the knowledge of the operator there has been built a fuzzy approximate reasoning system, which is used to improve reliability in a decision making process and a hazard identification. Metrological properties of measurement devices on which the operator's decisions are made have been tested. We built many programs for intelligent early detect fire or combustible threat of atmosphere. The laboratory system was build to control the physical parameters of the air. The measuring experimental installation includes the intrinsically safe system and mine sensors to control toxic and combustible gases which appear in mine atmosphere. This system enables simulation of gas hazards, testing software supporting the operator in real time, as well as checking and calibration gas sensors. The graphics LabVIEW environment of the National Instruments was used to build the software system.
Źródło:
Pomiary Automatyka Kontrola; 2008, R. 54, nr 5, 5; 302-305
0032-4140
Pojawia się w:
Pomiary Automatyka Kontrola
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Calculation model of teaching costs in a university
Autorzy:
Jucha, M.
Bocewicz, G.
Matuszek, J.
Powiązania:
https://bibliotekanauki.pl/articles/118303.pdf
Data publikacji:
2010
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
teaching costs
fuzzy logic
decision support systems
Opis:
A calculation model of teaching costs in a university is a system of guidelines, notions and relations to facilitate an assessment of the costs generated by individual university departments, majors, subjects etc. The existing calculation models based on the assessment of costs with the use of precision data prove to be ineffective in practice. The major drawback of these systems is the fact that it is not possible to take into account non-precision data in relation to cost generating factors (e.g. the number of didactic groups, hourly rates etc.). This article presents the author’s own proposal of a cost calculation model based on the formalism of fuzzy logics (with the use of the L-R representation). On the basis of the model proposed, it is possible to assess the costs of an academic subject with imprecise information concerning cost generating factors, or the values of those factors are assessed which imply the values set of the cost of a subject.
Źródło:
Applied Computer Science; 2010, 6, 2; 19-40
1895-3735
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Contextual one-sector non-regular fuzzy model based on 4 knowledge points
Kontekstowy, jednosektorowy, nieregularny model rozmyty oparty na 4 punktach wiedzy
Autorzy:
Piegat, A.
Olchowy, M.
Powiązania:
https://bibliotekanauki.pl/articles/158189.pdf
Data publikacji:
2010
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
modelowanie rozmyte
logika rozmyta
modele nieregularne
układy współrzędnych
wnioskowanie rozmyte
fuzzy modeling
fuzzy logic
non-regular models
coordinate systems
fuzzy reasoning
Opis:
W artykule przedstawiona została metoda konstruowania nieregularnego modelu rozmytego opartego na czterech punktach wiedzy eksperckiej. Nieregularne modele rozmyte różnią się znacznie od modeli regularnych, które oparte są na regularnym, prostokątnym podziale przestrzeni wejść. Posiadają one wiele zalet, m.in. pozwalają na znaczne zmniejszenie liczby reguł przy zachowaniu dokładności modelu rozmytego, czyli umożliwiają konstruowanie oszczędnych modeli rozmytych. Dzięki temu istnieje możliwość skutecznego pokonywania zjawiska "przekleństwa wymiarowości". Nieregularne modelowanie rozmyte nie jest chyba możliwe bez nowego układu współrzędnych. Układ taki nazwany został kontekstowym, nierównoległym układem współrzędnych, który jest uogólnieniem powszechnie stosowanego układu kartezjańskiego. Dla lepszego zrozumienia zagadnienia w artykule, w kilku krokach, przedstawiono sposób zastosowania kontekstowego układu współrzędnych w nieregularnym modelowaniu rozmytym. Metodę zilustrowano przykładem.
The paper presents a method how to construct a non-regular fuzzy model based on 4 points of expert knowledge. Non-regular fuzzy models considerably differ from regular ones, which are based on the regular, rectangular partition of the input space. They allow for considerable decreasing the rule number and thus for constructing sparse models and for overcoming the phenomenon called "curse of dimensionality". Non-regular fuzzy modeling is rather not possible without a new coordinate system, which was called contextual, non-parallel coordinate system that also is described in the paper. The non-regular modeling method was illustrated by an example.
Źródło:
Pomiary Automatyka Kontrola; 2010, R. 56, nr 10, 10; 1193-1196
0032-4140
Pojawia się w:
Pomiary Automatyka Kontrola
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Diagnostics of the Student’s Learning Style With the Use of Modern Information Technologies
Autorzy:
Krišová, Zdeňka
Pokorný, Miroslav
Powiązania:
https://bibliotekanauki.pl/articles/16530388.pdf
Data publikacji:
2013-12-31
Wydawca:
Wydawnictwo Adam Marszałek
Tematy:
learning
learning style
diagnostics of learning styles
adaptive learning systems
model learning style model
methods of diagnostics of
a learning style
typology of learning styles
artificial intelligence
expert systems
linguistic fuzzy model
fuzzy set
fuzzy logic
degree of affiliation
Opis:
The paper deals with learning styles and their initial diagnostics in the process of the student’s learning. It is focused on a method of learning styles recognition with the support of modern information technologies. The paper analyses different methods of the learning styles diagnostics, incorporating this issue into the scientific field of artificial intelligence and presents an idea on how to diagnose a learning style by using an unconventional fuzzy logic linguistic expert system. The expert system was designed to diagnose learning styles of university students in adaptive computer aided learning systems. A significant benefit is continuous numerical evaluation of the student’s degree of affiliation to all learning categories (types of student) with a possibility of simple determination of dominant and subdominant types, the use of a linguistic rule-based decision-making model, which is completely transparent and open, and the use of a decision-making procedure corresponding to the process of human consideration. The paper is an example of an application of modern information technologies in education.
Źródło:
The New Educational Review; 2013, 34; 174-187
1732-6729
Pojawia się w:
The New Educational Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fuzzy approach to complex system analysis
Autorzy:
Mazurkiewicz, J.
Nowak, K.
Walkowiak, T.
Powiązania:
https://bibliotekanauki.pl/articles/2069196.pdf
Data publikacji:
2012
Wydawca:
Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
Tematy:
dependability
modelling
complex systems
fuzzy logic
Opis:
The paper presents a new approach to reliability and functional analysis of sophisticated complex systems using fuzzy logic. We propose to use such methodology since dependability parameters of the system are mostly approximated by experts instead of classical sources of data. Presented approach show different idea – modeling system using the unified structure – in functional sense. We assess the reliability of the system by accumulated down time. Fuzzy logic based reliability analysis, as well as Computer Information System and Discrete Transport System modeling and simulation are presented. Moreover, results of numerical experiment performed on a test case scenario related to the economic and functional aspects using proposed methodology are given. Fuzzy approach allows reducing the problem of assumptions of reliability distributions and – this way – seems to be very interesting for real systems management and tuning.
Źródło:
Journal of Polish Safety and Reliability Association; 2012, 3, 2; 169--178
2084-5316
Pojawia się w:
Journal of Polish Safety and Reliability Association
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fuzzy models presentation and realization by means of relational systems
Autorzy:
Filatov, V.
Powiązania:
https://bibliotekanauki.pl/articles/410923.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Oddział w Lublinie PAN
Tematy:
fuzzy set
fuzzy logic
fuzzy relational databases
intelligent systems
data mining
Opis:
The feature of the research is the proposed fuzzy models representation method by means of relational systems, which unlike the known approaches, can solve integrated data mining problems in databases and fuzzy systems.
Źródło:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2014, 3, 3; 99-102
2084-5715
Pojawia się w:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fuzzy-Logic Fault Diagnosis of Industrial Process Actuators
Autorzy:
Kościelny, J. M.
Syfert, M.
Bartyś, M.
Powiązania:
https://bibliotekanauki.pl/articles/908282.pdf
Data publikacji:
1999
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
wykrywanie błędu
logika rozmyta
urządzenie uruchamiające
system diagnostyczny
fault diagnosis
fuzzy logic
actuators
decentralised
diagnostic systems
Opis:
The paper presents an idea of decomposition of diagnostic tasks in complex systems. Such decomposition consists in splitting basic diagnostic functions into lower-level units existing in decentralised structures of automatic control and supervision of the process. An example of a unit that realises this concept and includes a positioner that controls and diagnoses an assembly consisting of a servomotor and a pneumatic control valve is also given. An application of fuzzy logic to the actuator diagnosing algorithm is presented and results of the corresponding fault detection tests in an industrial environment are discussed.
Źródło:
International Journal of Applied Mathematics and Computer Science; 1999, 9, 3; 653-666
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fuzzy-Logic Fault Isolation in Large-Scale Systems
Autorzy:
Kościelny, J. M.
Sędziak, D.
Zakroczymski, K.
Powiązania:
https://bibliotekanauki.pl/articles/908284.pdf
Data publikacji:
1999
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
logika rozmyta
wyodrębnianie uszkodzeń
system na wielką skalę
diagnostics
fuzzy logic
fault isolation
large-scale systems
Opis:
Application of fuzzy logic in fault isolation is proposed. The introduced methods assume the industrial requirements such as integration of different detection algorithms, system complexity, data and knowledge uncertainties. Algorithms of decreasing the calculation expenditures for diagnosing large-scale systems are also introduced. An example of the application is also shown. The proposed technique is a development of the Dynamic State Tables method.
Źródło:
International Journal of Applied Mathematics and Computer Science; 1999, 9, 3; 637-652
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
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

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