Application of a preference relationship in decision-making based on intuitionistic fuzzy soft sets

Intuitionistic fuzzy soft set (IFSS) provides more efficient and flexible tool than ordinary fuzzy soft set (FSS) to express decision makers’ opinions in real-world decision problems. Until now, different researchers have designed different algorithms for ranking objects in order to select the best...

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Main Authors: Kilicman, Adem, Khameneh, Azadeh Zahedi, Salleh, Abdul Razak
Format: Article
Language:English
Published: IOS Press 2018
Online Access:http://psasir.upm.edu.my/id/eprint/73174/
http://psasir.upm.edu.my/id/eprint/73174/1/FUZZY.pdf
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author Kilicman, Adem
Khameneh, Azadeh Zahedi
Salleh, Abdul Razak
author_facet Kilicman, Adem
Khameneh, Azadeh Zahedi
Salleh, Abdul Razak
author_sort Kilicman, Adem
building UPM Institutional Repository
collection Online Access
description Intuitionistic fuzzy soft set (IFSS) provides more efficient and flexible tool than ordinary fuzzy soft set (FSS) to express decision makers’ opinions in real-world decision problems. Until now, different researchers have designed different algorithms for ranking objects in order to select the best option in group decision-making problems under intuitionistic fuzzy soft environment. In this paper, an adjustable algorithm is developed to handle the problem of group decision-making based on a preference relationship of IFSSs. The effectiveness of this approach in comparison with some existing methods is also demonstrated. To achieve the higher level of compatibility with the real-world problems, the proposed algorithm here is extended to the weighted case.
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spelling upm-731742020-11-30T07:55:08Z http://psasir.upm.edu.my/id/eprint/73174/ Application of a preference relationship in decision-making based on intuitionistic fuzzy soft sets Kilicman, Adem Khameneh, Azadeh Zahedi Salleh, Abdul Razak Intuitionistic fuzzy soft set (IFSS) provides more efficient and flexible tool than ordinary fuzzy soft set (FSS) to express decision makers’ opinions in real-world decision problems. Until now, different researchers have designed different algorithms for ranking objects in order to select the best option in group decision-making problems under intuitionistic fuzzy soft environment. In this paper, an adjustable algorithm is developed to handle the problem of group decision-making based on a preference relationship of IFSSs. The effectiveness of this approach in comparison with some existing methods is also demonstrated. To achieve the higher level of compatibility with the real-world problems, the proposed algorithm here is extended to the weighted case. IOS Press 2018 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/73174/1/FUZZY.pdf Kilicman, Adem and Khameneh, Azadeh Zahedi and Salleh, Abdul Razak (2018) Application of a preference relationship in decision-making based on intuitionistic fuzzy soft sets. Journal of Intelligent and Fuzzy Systems, 34 (1). 123 - 139. ISSN 1875-8967; ESSN: 10641246 https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs17089 10.3233/JIFS-17089
spellingShingle Kilicman, Adem
Khameneh, Azadeh Zahedi
Salleh, Abdul Razak
Application of a preference relationship in decision-making based on intuitionistic fuzzy soft sets
title Application of a preference relationship in decision-making based on intuitionistic fuzzy soft sets
title_full Application of a preference relationship in decision-making based on intuitionistic fuzzy soft sets
title_fullStr Application of a preference relationship in decision-making based on intuitionistic fuzzy soft sets
title_full_unstemmed Application of a preference relationship in decision-making based on intuitionistic fuzzy soft sets
title_short Application of a preference relationship in decision-making based on intuitionistic fuzzy soft sets
title_sort application of a preference relationship in decision-making based on intuitionistic fuzzy soft sets
url http://psasir.upm.edu.my/id/eprint/73174/
http://psasir.upm.edu.my/id/eprint/73174/
http://psasir.upm.edu.my/id/eprint/73174/
http://psasir.upm.edu.my/id/eprint/73174/1/FUZZY.pdf