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Wyszukujesz frazę "fuzzy MADM" wg kryterium: Temat


Wyświetlanie 1-7 z 7
Tytuł:
Minimizing carbon footprint of biomass energy supply chain in the Province of Florence
Autorzy:
Bernetti, Iacopo
Ciampi, Christian
Sacchelli, Sandro
Powiązania:
https://bibliotekanauki.pl/articles/453069.pdf
Data publikacji:
2010
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
Tematy:
carbon footprint
biomass
MILP
fuzzy MADM
regionalization
spatial analysis
GIS
Opis:
The paper presents an approach for optimal planning of biomass energy system based on carbon footprint minimization. A geographical spatial demand driven approach is applied to assess the feasible ways for transferring energy from renewable sources to district heating plants in the Province of Florence (Italy). The proposed approach has been developed on three levels. In the first one, the Province of Florence is partitioned into a number of Regional Energy Cluster (REC) using a multidimensional algorithm of regionalization called SKATER. The variables used in SKATER model are related in order to realize sustainable policy for forest and agriculture biomass productions. In the second step a geographical fuzzy multiple attribute decision making model was applied to the selection of biomass district heating localization. Finally, in the third step a georeferenced Mixed Integer Linear Programming model based on resourcesupply- demand structure for carbon-minimization energy planning has been applied.
Źródło:
Metody Ilościowe w Badaniach Ekonomicznych; 2010, 11, 1; 24-36
2082-792X
Pojawia się w:
Metody Ilościowe w Badaniach Ekonomicznych
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Improving the Game Approach to Fuzzy Madm
Autorzy:
Larbani, Moussa
Chen, Yuh-Wen
Powiązania:
https://bibliotekanauki.pl/articles/578604.pdf
Data publikacji:
2014
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
Zakres fuzzy
Gra przeciwko naturze
Równowaga Nash
Fuzzy MADM
Fuzzy interval
Game against Nature
Nash equilibrium
Opis:
In the FSS paper 157 (2005, p. 34-51) we presented a game approach for solving MADM problems with fuzzy decision matrix. The results of the paper essentially depend on the assumption that the entries of the fuzzy decision matrix are triangular fuzzy numbers and dependent via a real parameter \lambda. In this paper we present a more general game approach for solving fuzzy MADM problems free of these restrictions. The entries of the decision matrix are assumed to be not necessarily dependent fuzzy intervals with bounded support as defined by Dubois and Prade.
Źródło:
Multiple Criteria Decision Making; 2014, 9; 58-71
2084-1531
Pojawia się w:
Multiple Criteria Decision Making
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fuzzy TOPSIS Approach in Selection of Optimal Noise Barrier for Traffic Noise Abatement
Autorzy:
Garg, N.
Vishesh, Vishesh
Maji, S.
Powiązania:
https://bibliotekanauki.pl/articles/950220.pdf
Data publikacji:
2015
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
fuzzy TOPSIS
MADM
road traffic noise
fuzzy positive ideal solution (FPIS)
fuzzy negative ideal solution (FNIS)
SWOT analysis
Opis:
The paper presents a retrospective study for selection of noise barrier for road traffic noise abatement. The work proposes the application of Fuzzy TOPSIS (Technique for order preference by similarity to an ideal solution) approach is selection of optimal road traffic noise barrier. The present work utilizes the fuzzy TOPSIS model proposed by Mahdavi et al. (2008) in determination of ranking order of various types of noise barriers with respect to the various criteria considered. It is suggested that application of this approach can be very helpful in selection and application of optimal noise barrier for road traffic noise abatement.
Źródło:
Archives of Acoustics; 2015, 40, 4; 453--467
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A literature review of interval-valued intuitionistic fuzzy multi-criteria decision-making methodologies
Autorzy:
Kokoç, Melda
Ersöz, Süleyman
Powiązania:
https://bibliotekanauki.pl/articles/2100434.pdf
Data publikacji:
2021
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
multi-criteria decision-making
review
interval-valued intuitionistic fuzzy set
MCDM
MADM
Opis:
Multi-criteria decision-making (MCDM) is one of the most popular problems handled by researchers in the literature. Since the interval-valued intuitionistic fuzzy set (IVIFS) theory generates as realistic as possible evaluation of linguistic expressions, researchers have been expanding traditional MCDM methods to the IVIF environment, especially in the last decade. This study provides a literature review of the relevant articles from several academic databases on applications of IVIF-MCDM methods. The review of 131 publications addresses specific research questions. To understand the research publication trend, this review offers a visual analysis that examines the studies from different perspectives, such as application areas, IVIF-MCDM methods, citations, most relevant journals, and validation methods. One of the most remarkable results of the literature review is that most publications in this field are published in SCIE indexed journals. Another noteworthy issue is that China is the country that produces the most articles in this field. In addition, English journals are mostly selected for the publication of articles. While it is seen that the investment selection problem is chosen mostly as the application area, the TOPSIS method is preferred mostly in the applications. This study stands out as the most comprehensive one that compiles publications containing extended traditional MCDM methods for IVIF sets. This review will be an important reference for future researchers and decision-makers involved in advancing MCDM methods considering vagueness and ambiguity.
Źródło:
Operations Research and Decisions; 2021, 31, 4; 89--116
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Dual hesitant pythagorean fuzzy Hamacher aggregation operators in multiple attribute decision making
Autorzy:
Wei, G.
Lu, M.
Powiązania:
https://bibliotekanauki.pl/articles/229895.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
multiple attribute decision making (MADM)
dual Pythagorean hesitant fuzzy values
dual hesitant Pythagorean fuzzy Hamacher hybrid average (DHPFHHA) operator
dual hesitant Pythagorean fuzzy Hamacher hybrid geometric (DHPFHHG) operator
power aggregation operators
Opis:
In this paper, we investigate the multiple attribute decision making (MADM) problem based on the Hamacher aggregation operators with dual Pythagorean hesitant fuzzy information. Then, motivated by the ideal of Hamacher operation, we have developed some Hamacher aggregation operators for aggregating dual hesitant Pythagorean fuzzy information. The prominent characteristic of these proposed operators are studied. Then, we have utilized these operators to develop some approaches to solve the dual hesitant Pythagorean fuzzy multiple attribute decision making problems. Finally, a practical example for supplier selection in supply chain management is given to verify the developed approach and to demonstrate its practicality and effectiveness.
Źródło:
Archives of Control Sciences; 2017, 27, 3; 365-395
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Dual hesitant Pythagorean fuzzy Bonferroni mean operators in multi-attribute decision making
Autorzy:
Tang, Xiyue
Wei, Guiwu
Powiązania:
https://bibliotekanauki.pl/articles/229277.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
multiple attribute decision making
MADM
dual hesitant Pythagorean fuzzy sets
dual hesitant Pythagorean fuzzy Bonferroni mean operator
DHPFBM
dual hesitant Pythagorean fuzzy geometric Bonferroni mean operator
DHPFGBM
supplier selection
supply chain management
Opis:
In this paper, we investigate the multiple attribute decision making problems based on the Bonferroni mean operators with dual Pythagorean hesitant fuzzy information. Firstly, we introduce the concept and basic operations of the dual hesitant Pythagorean fuzzy sets, which is a new extension of Pythagorean fuzzy sets. Then, motivated by the idea of Bonferroni mean operators, we have developed some Bonferroni mean aggregation operators for aggregating dual hesitant Pythagorean fuzzy information. The prominent characteristic of these proposed operators are studied. Then, we have utilized these operators to develop some approaches to solve the dual hesitant Pythagorean fuzzy multiple attribute decision making problems. Finally, a practical example for supplier selection in supply chain management is given to verify the developed approach and to demonstrate its practicality and effectiveness.
Źródło:
Archives of Control Sciences; 2019, 29, 2; 339-386
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Polioptymalizacja rozmyta w MATLABie
on tools for wood machining
Autorzy:
Tarnowski, W.
Powiązania:
https://bibliotekanauki.pl/articles/152712.pdf
Data publikacji:
2011
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
polioptymalizacja
optymalizacja wielokryterialna
logika rozmyta
sterowanie rozmyte
kryteria lingwistyczne
model matematyczny
zbiór Pareto
zbiór rozwiązań kompromisowych
poly-optimisation
Multi Attribute Decision Making (MADM)
fuzzy logic
fuzzy control
linguistic criteria
mathematical models
Pareto solutions
trade-off solutions
Opis:
Skutecznym sposobem wdrożenia optymalizacji do praktyki może być wykorzystanie logiki rozmytej do tworzenia modeli matematycznych zadania optymalizacji, jeśli jest dostępna wiedza ekspercka dotycząca obiektu optymalizacji. Dzięki temu: a) unika się żmudnego procesu budowania modelu analitycznego i b) umożliwia się uwzględnienie w modelu rozmytych kryteriów i ograniczeń. W pracy pokazano procedurę wspomagania optymalizacji za pomocą pakietu MATLAB na przykładzie z dwoma i z trzema kryteriami optymalizacji, w ujęciu polioptymalizacyjnym. Wyciągnięto wnioski metodologiczne.
As for now, optimization techniques are not very popular in real engineering, though they are taught at universities and are recognized as very useful in design and management. Probably the main reason is that mathematical models of objects are difficult to device and, what more criteria may not be precisely defined. A way to enhance an effective implementation of optimisation and MADM techniques to a real practice is a fuzzy logic approach to modelling an optimisation problem, if only the expert knowledge is at hand. It yields: a) avoiding the laborious and often not possible process of building an analytical model, b) makes it possible to use fuzzy and imprecise notions and aspects. In the paper there is proposed a procedure how to device and handle such models in the MATLAB environment to get a Pareto set solutions, in poly-optimisation. The methodology is illustrated on an example of a chemical reactor. The poly-optimal control is to be found. First, having stated criteria, as fuzzy and/or non-fuzzy notions (product quality and effectiveness, in the example), an expert arbitrarily defines decision variables (process temperature, time and mixing velocity), and their membership functions, then a mathematical model is established as a set of rules if - then (Fig. 1). This model may be intuitively verified and corrected by graphical presentations, as in Fig. 2. Then, a poly-optimisation is completed: either by survey of all possible solutions (Fig. 3) and reducing the set to the Pareto solutions (Figs. 4 - 6), or by mathematical optimization algorithms. In the example a first approach is adopted. The example is extended: a third non-fuzzy criterion is introduced (cost). (Figs. 7 - 9).Methodological conclusions are formulated, too.
Źródło:
Pomiary Automatyka Kontrola; 2011, R. 57, nr 9, 9; 1059-1062
0032-4140
Pojawia się w:
Pomiary Automatyka Kontrola
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-7 z 7

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