Factorial-Quality Scalar and an Extension of ELECTRE in Intuitionistic Fuzzy Sets
Guohua Qu,
Weihua Qu (),
Junmei Wang (),
Haisheng Zhou () and
Zengliang Liu ()
Additional contact information
Guohua Qu: College of Management Science and Engineering, Shanxi University of Finance and Economics, Taiyuan 030006, China
Weihua Qu: Taiyuan University, 030032, China
Junmei Wang: School of Management, Beijing Xuanwu Hongqi Spare-time University, Beijing 100055, China
Haisheng Zhou: School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
Zengliang Liu: School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
International Journal of Information Technology & Decision Making (IJITDM), 2018, vol. 17, issue 01, 183-207
Abstract:
A great number of real-world problems can be associated with multi-criteria decision-making. These problems are often characterized by a high degree of uncertainty. Intuitionistic fuzzy sets (IFSs) are a generalized form of an ordinal fuzzy set to deal with this natural uncertainty. In this paper, we propose a hybrid version of the intuitionistic fuzzy ELECTRE based on VIKOR method, which was never considered before. The advantage and strengths of the intuitionistic fuzzy ELECTRE based on VIKOR method as decision aid technique and IFS as an uncertain framework make the proposed method a suitable choice in solving practical problems. Finally, a numerical example for engineering manager choice is given to illustrate the application of proposed method. The paper also gives a special view of point to the research along IFSs: It can be viewed as a kind of factorial scalar theory in factor space, which helps the authors to complete the paper with clear ideas.
Keywords: Intuitionistic fuzzy set; multi-criteria decision-making; ELECTRE; VIKOR; factor space; factorial scalar quality (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitdm:v:17:y:2018:i:01:n:s0219622017500389
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DOI: 10.1142/S0219622017500389
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