Temat: Fuzzy sets - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Logarithmic similarity measures on Pythagorean fuzzy sets in admission process
Autorzy:: Arora, Hari Darshan
Naithani, Anjali
Powiązania:: https://bibliotekanauki.pl/articles/2100449.pdf
Data publikacji:: 2021
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:: intuitionistic fuzzy sets
Pythagorean fuzzy sets
similarity measures
weighted similarity measures
logarithmic function
decision-making
Opis:: The intuitionistic fuzzy sets (IFSs) have a more significant contribution to describing and dealing with uncertainty. The intuitionistic fuzzy measure is a significant consideration in the field of IFSs theory. However, Pythagorean fuzzy sets (PFSs) are an extension of the IFSs. PFSs are more capable of modelling uncertainties than IFSs in real-world decision-making scenarios. The majority of PFSs research has concentrated on establishing decision-making frameworks. A similarity measure is a key concept which measures the closeness of PFSs. IFSs-based similarity measures have been proposed in the literature. This type of similarity measure, however, has a drawback since it cannot satisfy the axiomatic definition of similarity by offering counter-intuitive examples. For this study, a similarity-based on logarithmic function for Pythagorean fuzzy sets (PFSs) is proposed as a solution to the problem. A decision-making approach is presented to ascertain the suitability of careers for aspirants. Additionally, numerical illustration is applied to determine the strength and validity of the proposed similarity measures. The application of the proposed similarity measures is also presented in this article. A comparison of the suggested measures with the existing ones is also demonstrated to ensure the reliability of the measures. The results show that the proposed similarity measures are efficient and reasonable from both numerical and realistic assessments.
Źródło:: Operations Research and Decisions; 2022, 32, 1; 5--24
2081-8858
2391-6060
Pojawia się w:: Operations Research and Decisions
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Multi - criteria decision making using fuzzy preference relations
Autorzy:: Borzęcka, H.
Powiązania:: https://bibliotekanauki.pl/articles/406292.pdf
Data publikacji:: 2012
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:: fuzzy sets
optimization
Pareto-optimal set
Opis:: When dealing with multi-criteria decision making problems, the concept of Pareto-optimality and Pareto-dominance may be inefficient (e.g. generally multiple solutions exist), especially when there is a large number of criteria. Our paper considers the fuzzy multi-criteria decision making problem based on Zadeh’s linguistic approach to P-optimality and P-dominance. The construction, analysis and application of a model of multi-criteria decision making using a fuzzy preference relation are considered. The paper is dedicated to the problem of modeling preferences in terms of fuzzy binary relations and provides an introduction to the important problem of forming fuzzy preference relations to analyze models of multi-attribute decision making. The key features of the multi-criteria evaluation, comparison, choice and ordering of alternatives in a fuzzy environment using fuzzy preference relations have been introduced.
Źródło:: Operations Research and Decisions; 2012, 22, 3; 5-21
2081-8858
2391-6060
Pojawia się w:: Operations Research and Decisions
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: The valuation of real options in a hybrid environment
Autorzy:: Rębiasz, Bogdan
Powiązania:: https://bibliotekanauki.pl/articles/406308.pdf
Data publikacji:: 2019
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:: switch options
fuzzy sets
random fuzzy sets
investment decision
Monte Carlo simulation
zbiory rozmyte
decyzja inwestycyjna
Symulacja Monte Carlo
Opis:: The aim of this paper is to present the possibilities and purposefulness of the application of fuzzy set theory to the valuation of real options. Owing to temporal fluctuations in the market, some input parameters in a model of a real option cannot always be expressed in a precise sense. Therefore, it is natural to consider them as a fuzzy numbers. Such an approach allows us to keep more information about the possible value of real options. A hybrid (fuzzy-stochastic) model for valuing a switch option is presented. Under these assumptions, the value of a switch option will be a fuzzy random set. This article assesses the incremental benefit of product switch options in steel plant projects. Such options are valued by Monte Carlo simulation and modelling the prices of and demand for steel products using fuzzy geometric Brownian motion. Finally, the value of a product switch option is defined by the upper and lower probability distribution function.
Źródło:: Operations Research and Decisions; 2019, 29, 1; 97-119
2081-8858
2391-6060
Pojawia się w:: Operations Research and Decisions
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: New method of selecting efficient project portfolios in the presence of hybrid uncertainty
Autorzy:: Rębiasz, B.
Powiązania:: https://bibliotekanauki.pl/articles/406365.pdf
Data publikacji:: 2016
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:: portfolio selection
data processing
hybrid uncertainty
random fuzzy sets
Opis:: A new methods of selecting efficient project portfolios in the presence of hybrid uncertainty has been presented. Pareto optimal solutions have been defined by an algorithm for generating project portfolios. The method presented allows us to select efficient project portfolios taking into account statistical and economic dependencies between projects when some of the parameters used in the calculation of effectiveness can be expressed in the form of an interactive possibility distribution and some in the form of a probability distribution. The procedure for processing such hybrid data combines stochastic simulation with nonlinear programming. The interaction between data are modeled by correlation matrices and the interval regression. Economic dependences are taken into account by the equations balancing the production capacity of the company. The practical example presented indicates that an interaction between projects has a significant impact on the results of calculations.
Źródło:: Operations Research and Decisions; 2016, 26, 4; 65-90
2081-8858
2391-6060
Pojawia się w:: Operations Research and Decisions
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Decisions involving databases, fuzzy databases and codatabases
Autorzy:: Schumann, A.
Woleński, J.
Powiązania:: https://bibliotekanauki.pl/articles/406267.pdf
Data publikacji:: 2015
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:: rough sets
fuzzy sets
decision making
labelled transition systems
coalgebras
Bayesian networks
Opis:: The authors consider the following three ways of decision making: (i) decisions involving databases by means of standard tools of sequential logic and universal algebra; (ii) decisions involving fuzzy databases by means of fuzzy logic; (iii) decision involving continuously growing databases (codatabases) using the tools of Bayesian networks.
Źródło:: Operations Research and Decisions; 2015, 25, 3; 59-72
2081-8858
2391-6060
Pojawia się w:: Operations Research and Decisions
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Fuzzy inference system and prediction
Autorzy:: Žák, L.
Valliš, D.
Powiązania:: https://bibliotekanauki.pl/articles/1818737.pdf
Data publikacji:: 2015
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:: fuzzy sets
fuzzy logic
fuzzy inference system
prediction implementation
employees
zbiory rozmyte
logika rozmyta
system wnioskowania rozmyty
pracownicy
Opis:: This paper describes the implementation of fuzzy set theory and Fuzzy Inference System (FIS) for prediction of electric load. The proposed technique utilizes fuzzy rules to incorporate historical weather and load data. The use of fuzzy logic effectively handles the load variations due to special events. The fuzzy logic has been extensively tested on actual data obtained from the Czech Electric Power Company (ˇCEZ) for 24-hour ahead prediction. Test results indicate that the fuzzy rule base can produce results better in accuracy than artificial neural networks (ANNs) method.
Źródło:: Journal of TransLogistics; 2015, 1, 1; 193--202
2450-5870
Pojawia się w:: Journal of TransLogistics
Dostawca treści:: Biblioteka Nauki

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