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Wyświetlanie 1-15 z 35
Tytuł:
Towards human consistent data driven decision support systems using verbalization of data mining results via linguistic data summaries
Autorzy:
Kacprzyk, J.
Szadrozny, S.
Powiązania:
https://bibliotekanauki.pl/articles/200700.pdf
Data publikacji:
2010
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
decision support system
data mining
Opis:
We present how the conceptually and numerically simple concept of a fuzzy linguistic database summary can be a very powerful tool for gaining much insight into the essence of data that may be relevant for a business activity. The use of linguistic summaries provides tools for the verbalization of data analysis (mining) results which, in addition to the more commonly used visualization e.g. via a GUI, graphical user interface, can contribute to an increased human consistency and ease of use. The results (knowledge) derived are in a simple, easily comprehensible linguistic form which can be effectively and efficiently employed for supporting decision makers via the data driven decision support system paradigm. Two new relevant aspects of the analysis are also outlined which was first initiated by the authors. First, following Kacprzyk and Zadrożny [1] comments are given on an extremely relevant aspect of scalability of linguistic summarization of data, using their new concept of a conceptual scalability that is crucial for large applications. Second, following Kacprzyk and Zadrożny [2] it is further considered how linguistic data summarization is closely related to some types of solutions used in natural language generation (NLG), which can make it possible to use more and more effective and efficient tools and techniques developed in this another rapidly developing area. An application of a computer retailer is outlined.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2010, 58, 3; 359-370
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Bireference Procedure fBIP for Interactive Multicriteria Optimization with Fuzzy Coefficients
Autorzy:
Wojewnik, Piotr
Szapiro, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/483325.pdf
Data publikacji:
2010
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
decision support
multicriteria decision making
interactive optimization
fuzzy optimization
Opis:
In the paper an approach to decision making in situations with non-pointlike characterisation and subjective evaluation of the actions is considered. The decision situation is represented mathematically as fuzzy multiobjective linear programming (fMOLP) model, where we apply the reduced fuzzy matrices instead of fuzzy classical numbers. The fMOLP model with reduced parameters is decomposable into the set of point-like models and the point-like models enable effective construction of an optimisation procedure - fBIP, see Wojewnik (2006ab), extending the bireference procedure by Michalowski and Szapiro (1992). The approach is applied to a fuzzy optimization problem in the area of telecommunication services.
Źródło:
Central European Journal of Economic Modelling and Econometrics; 2010, 2, 3; 169-193
2080-0886
2080-119X
Pojawia się w:
Central European Journal of Economic Modelling and Econometrics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A concept of Internet decision support system for integrated plant protection
Autorzy:
Zaliwski, A.S.
Wolny, S.
Powiązania:
https://bibliotekanauki.pl/articles/66731.pdf
Data publikacji:
2003
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
plant protection
pest management
decision support system
Internet
Źródło:
Journal of Plant Protection Research; 2003, 43, 3
1427-4345
Pojawia się w:
Journal of Plant Protection Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Reduction in the number of comparisons required to create matrix of expert judgment in the comet method
Autorzy:
Sałabun, W.
Powiązania:
https://bibliotekanauki.pl/articles/407391.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
MCDM
COMET
decision making
decision support systems
multiple-criterion optimization
Opis:
Multi-criteria decision-making (MCDM) methods are associated with the ranking of alternatives based on expert judgments made using a number of criteria. In the MCDM field, the distance-based approach is one popular method for receiving a final ranking. One of the newest MCDM method, which uses the distance-based approach, is the Characteristic Objects Method (COMET). In this method, the preferences of each alternative are obtained on the basis of the distance from the nearest characteristic objects and their values. For this purpose, the domain and fuzzy numbers set for all the considered criteria are determined. The characteristic objects are obtained as the combination of the crisp values of all the fuzzy numbers. The preference values of all the characteristic object are determined based on the tournament method and the principle of indifference. Finally, the fuzzy model is constructed and is used to calculate preference values of the alternatives. In this way, a multi-criteria model is created and it is free of rank reversal phenomenon. In this approach, the matrix of expert judgment is necessary to create. For this purpose, an expert has to compare all the characteristic objects with each other. The number of necessary comparisons depends squarely to the number of objects. This study proposes the improvement of the COMET method by using the transitivity of pairwise comparisons. Three numerical examples are used to illustrate the efficiency of the proposed improvement with respect to results from the original approach. The proposed improvement reduces significantly the number of necessary comparisons to create the matrix of expert judgment.
Źródło:
Management and Production Engineering Review; 2014, 5, 3; 62-69
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Maintenance as a combination of intelligent IT systems and strategies: a literature review
Autorzy:
Metso, L.
Baglee, D.
Marttonen-Arola, S.
Powiązania:
https://bibliotekanauki.pl/articles/406710.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
eMaintenance
information systems
intelligent manufacturing systems
decision support systems
Opis:
This study provides a systematic review of the existing academic literature describing the key components of eMaintenance. The current literature is reviewed by utilizing a number of academic databases including Scopus, SpringerLink and ScienceDirect, and Google Search is used to find relevant academic and peer-reviewed journal articles concerning eMaintenance. The literature describes eMaintenance as an advanced maintenance strategy that takes advantage of the Internet, information and communication technologies, wireless technologies and cloud computing. eMaintenance systems are used to provide real time analyses based on real time data to offer a number of solutions and to define maintenance tasks. The collection and analysis of appropriate maintenance and process data are critical to create robust ‘maintenance intelligence’ and finally improvements in manufacturing costs, safety, environmental impact, and equipment reliability. This paper describes how the scientific discussion on eMaintenance has expanded significantly during the last decade, creating a need for an up-to-date review. As a conclusion, three research gaps in the area of eMaintenance are identified, including evaluating the benefits of eMaintenance, agreeing on a comprehensive definition, and developing tools and structures for cooperative eMaintenance.
Źródło:
Management and Production Engineering Review; 2018, 9, 1; 51-64
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Supply Chain Disruptions Mitigation Plan Using Six Sigma Method for Sustainable Technology Infrastructure
Autorzy:
Andry, Johanes Fernandes
Nurprihatin, Filscha
Liliana, Lydia
Powiązania:
https://bibliotekanauki.pl/articles/2201157.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
supply chain management
six sigma
FMEA
decision support system
Opis:
Supply Chain Management (SCM) is a very important part of the industrial world, especially in the manufacturing sector. The development of the business world affects the complexity of the supply chain due to the lack of logistics infrastructure, quality of materials and components, and much more. Supply chain disruption risk mapping needs to be done due to high uncertainty, which is overcome by implementing a decision support system. Based on the background of the problem, supply chain disruption mapping uses the help of the Six Sigma method, which consists of 5 stages: Define, Measure, Analyze, Improve, and Control (DMAIC). The measurement of disturbance also uses the Failure Mode and Effect Analysis (FMEA) approach to prioritize risk. Risks that have a high assessment and cause failure need to be prioritized for improvement. This study aims to map supply chain disruptions in the current manufacturing industry based on the barriers, resistances, and causes detected for making a decision support system prototype. By implementing a decision support system in the supply chain process, it is hoped that the manufacturing industry can minimize potential losses from existing risks.
Źródło:
Management and Production Engineering Review; 2022, 13, 4; 88--97
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
NegFry - decision support system for late blight control in potato crops - results of validation trials in North Poland
Autorzy:
Kapsa, J.
Osowski, J.
Bernat, E.
Powiązania:
https://bibliotekanauki.pl/articles/65119.pdf
Data publikacji:
2003
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
late blight control
Polska
NegFry model
validation
decision support
potato
Źródło:
Journal of Plant Protection Research; 2003, 43, 2
1427-4345
Pojawia się w:
Journal of Plant Protection Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Joint allocation and transportation problem in supply network optimisation
Autorzy:
Filcek, G.
Powiązania:
https://bibliotekanauki.pl/articles/407403.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
supply networks
optimization
convex optimization
heuristic algorithms
decision support systems
Opis:
The paper concerns joint allocation and transportation as an optimization problem in selected supply networks. The network consists of a set of suppliers of the raw material, a set of production units and a set of product receivers. The raw material is treated as fast perishing good like vegetables or fruits. The production units are described by time models. In the optimization process, the time of the production and cost of the transportation is taken into account. The objective function is in general non-convex function of raw material allocation and transportation plans of the raw material and the product. To solve the problem considered, exact and heuristic algorithms have been developed and presented. To solve convex problems, solver Lingo developed by Lindo systems is proposed. The idea of a computer decision supported system integrating all presented algorithms is presented as well as four numerical examples illustrating some properties of the assumed supply network model.
Źródło:
Management and Production Engineering Review; 2012, 3, 3; 3-10
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Project prioritizing in a manufacturing – service enterprise with application of the fuzzy logic
Autorzy:
Marek-Kolodziej, Katarzyna
Lapunka, Iwona
Powiązania:
https://bibliotekanauki.pl/articles/1841397.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
priority assignment
project selection
fuzzy systems
fuzzy logic
decision theory
decision support systems
Opis:
The article includes presentation of fuzzy numbers application in projects prioritizing at manufacturing and service providing enterprises. The following criteria have been applied as a basis for projects prioritizing analysis in enterprise: NPV index, linked with the enterprise strategic aims, project execution cost, project time, project scope and risk. As the criteria selected were of measurable and non-measurable character in projects prioritizing evaluation, the fuzzy decision making system has been developed, in which a linguistic value has been defined for each criterion of projects prioritizing. Knowledge base has been developed afterwards, presenting cause-effect dependencies in projects prioritizing. Knowledge base consisted of conditional rules. Fuzzy system of decision making in project prioritizing has been developed in MATLAB application. The decision making fuzzy system established, constitutes an efficient tool for projects prioritizing, on the basis of criteria given and concluding system developed. The obtained analysis results provide basis for the decision making parties to set the projects execution sequences.
Źródło:
Management and Production Engineering Review; 2020, 11, 4; 81-91
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Information and Decision System Supporting the Production of ADI Cast Iron Products
Autorzy:
Opaliński, Andrzej
Wilk-Kołodziejczyk, Dorota
Powiązania:
https://bibliotekanauki.pl/articles/2049745.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
decision support
information system
ADI casting
austempered ductile cast iron
ADI
Opis:
The presented article concerns the issue of supporting the ADI cast iron product manufacturing process and presents an IT system dedicated mainly to designers and technologists. Designers can be supported at the stage of selecting types of materials and technologies (including ADI cast iron) to produce products with required properties. Technologists can obtain support in determining the parameters (temperature and chemical) of the ADI cast iron manufacturing process in order to obtain products with specific properties. The system also contains an information resources (standards, documentation, examples) concerning ADI cast iron and products made of it. Examples of use by individual system users are presented as a case study.
Źródło:
Archives of Metallurgy and Materials; 2021, 66, 2; 651-657
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Model based decision support system of operating settings for MMAT nozzles
Autorzy:
Fritz, B.K.
Czaczyk, Z.
Hoffmann, W.C.
Powiązania:
https://bibliotekanauki.pl/articles/65707.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
droplet size
classification
determination
spraying
modelling
sprayer operating setting
decision support system
Opis:
Droplet size, which is affected by nozzle type, nozzle setups and operation, and spray solution, is one of the most critical factors influencing spray performance, environment pollution, food safety, and must be considered as part of any application scenario. Characterizing spray nozzles can be a timely and expensive proposition if the entire operational space (all combinations of spray pressure and orifice size, what influence flow rate) is to be evaluated. This research proposes a structured, experimental design that allows for the development of computational models for droplet size based on any combination of a nozzle’s potential operational settings. The developed droplet size determination model can be used as Decision Support System (DSS) for precise selection of sprayer working parameters to adapt to local field scenarios. Five nozzle types (designs) were evaluated across their complete range of orifice size (flow rate*) and spray pressures using a response surface experimental design. Several of the models showed high level fits of the modeled to the measured data while several did not as a result of the lack of significant effect from either orifice size (flow rate*) or spray pressure. The computational models were integrated into a spreadsheet based user interface for ease of use. The proposed experimental design provides for efficient nozzle evaluations and development of computational models that allow for the determination of droplet size spectrum and spraying classification for any combination of a given nozzle’s operating settings. The proposed DSS will allow for the ready assessment and modification of a sprayers performance based on the operational settings, to ensure the application is made following recommendations in plant protection products (PPP) labels.
Źródło:
Journal of Plant Protection Research; 2016, 56, 2
1427-4345
Pojawia się w:
Journal of Plant Protection Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Minimization of Ventilator-Induced Lung Injury in ARDS Patients – Part I: Complex Model of Mechanically Ventilated ARDS Lungs
Autorzy:
Glapiński, J.
Jabłoński, I.
Powiązania:
https://bibliotekanauki.pl/articles/221252.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
lung alveolar surfactant
respiratory mechanics
mathematical modelling
medical decision support
lung protective ventilation
Opis:
A complex model of mechanically ventilated ARDS lungs is proposed in the paper. This analogue is based on a combination of four components that describe breathing mechanics: morphology, mechanical properties of surfactant, tissue and chest wall characteristics. Physical-mathematical formulas attained from experimental data have been translated into their electrical equivalents and implemented in MultiSim software. To examine the adequacy of the forward model to the properties and behaviour of mechanically ventilated lungs in patients with ARDS symptoms, several computer simulations have been performed and reported in the paper. Inhomogeneous characteristics observed in the physical properties of ARDS lungs were mapped in a multi-lobe model and the measured outputs were compared with the data from physiological reports. In this way clinicians and scientists can obtain the knowledge on the moment of airway zone reopening/closure expressed as a function of pressure, volume or even time. In the paper, these trends were assessed for inhomogeneous distributions (proper for ARDS) of surfactant properties and airway geometry in consecutive lung lobes. The proposed model enables monitoring of temporal alveolar dynamics in successive lobes as well as those occurring at a higher level of lung structure organization, i.e. in a point P0 which can be used for collection of respiratory data during indirect management of recruitment/de-recruitment processes in ARDS lungs. The complex model and synthetic data generated for various parametrization scenarios make possible prospective studies on designing an indirect mode of alveolar zone management, i.e. with a minimized risk of repeated alveolar recruitment/de-recruitment and mechanical overstraining of lung tissues.
Źródło:
Metrology and Measurement Systems; 2017, 24, 4; 685-699
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The assessment of supply chain effectiveness
Autorzy:
Jacyna-Gołda, I.
Izdebski, M.
Szczepański, E.
Gołda, P.
Powiązania:
https://bibliotekanauki.pl/articles/223804.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
supply chain
effectiveness
decision models
decision support systems
łańcuch dostaw
skuteczność
modele decyzyjne
Systemy Wspomagania Decyzji
Opis:
This paper presents the problem of the assessment of the supply chains in the context of their effectiveness. In this paper the concepts of a supply chain and effectiveness were characterized. The supply chain is a structure of entities which are connected with each other by the use of material and financial flows and functional, structural, technological, economic and information dependencies. Entities such as: suppliers, final recipients, entrepreneurs, warehouse facilities, supply centers, logistics operators, carriers, etc. perform material flows from suppliers to recipients. The concept of efficiency, in general terms, refers to economic rationality and means the relationship between the achieved or expected effects and the expenditures incurred. Additionally, indicators of measuring the effectiveness of the supply chain were described. In order to assess the effectiveness of the supply chain the decision model was developed. Optimization is crucial in decision support systems. The development of an appropriate model for mapping the behavior of a real object or system and formulating an optimization task is a necessary activity in effective management. This is even more important if we want to be competitive. Along with the development of decision support systems, as well as the development of systems for data acquisition on the system functioning, which feed optimization models in ever more detailed form, complex decision models are created that take into account many optimization criteria and require a large amount of data. It allows, however, to ensure the sustainable development of the system and simultaneous implementation of its basic tasks. The main aim of this paper is to present the stages and assumptions of the model for assessing the effectiveness of the supply chain. The main data input, constraints of the model, the criteria functions were determined.
Źródło:
Archives of Transport; 2018, 45, 1; 43-52
0866-9546
2300-8830
Pojawia się w:
Archives of Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Efficacy of NegFry decision support system in control of late blight in Poland
Autorzy:
Wojtowicz, A.
Powiązania:
https://bibliotekanauki.pl/articles/65001.pdf
Data publikacji:
2003
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
late blight
control
Polska
Phytphthora infestans
NegFry system
efficacy
Routine system
decision support system
NegFry decision system
Źródło:
Journal of Plant Protection Research; 2003, 43, 3
1427-4345
Pojawia się w:
Journal of Plant Protection Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of Artificial Neural Networks in the Analysis of Mechanisms Destroying Forging Tools
Autorzy:
Hawryluk, M.
Mrzygłód, B.
Gronostajski, Z.
Głowacki, M.
Olejarczyk-Wożeńska, I.
Powiązania:
https://bibliotekanauki.pl/articles/353528.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
decision support system
durability of forging tools
artificial neural network
loss of material
wear
Opis:
This article discusses the results of studies using the developed artificial neural networks in the analysis of the occurrence of the four main mechanisms destroying the selected forging tools subjected to five different surface treatment variants (nitrided layer, pad welded layer and three hybrid layers, i.e. AlCrTiSiN, Cr/CrN and Cr/AlCrTiN). Knowledge of the forging tool durability, needed in the process of artificial neural network training, was included in the set of training data (about 800 records) derived from long-term comprehensive research carried out under industrial conditions. Based on this set, neural networks with different architectures were developed and the results concerning the intensity of the occurrence of thermal-mechanical fatigue, abrasive wear, mechanical fatigue and plastic deformation were generated for each type of the applied treatment relative to the number of forgings, pressure, friction path and temperature.
Źródło:
Archives of Metallurgy and Materials; 2020, 65, 1; 193-200
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 35

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