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A consensus algorithm based on the worst consistency index of hesitant fuzzy preference relations in group decision-making. COMPLEX INTELL SYST 2022. [DOI: 10.1007/s40747-022-00863-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
AbstractThis paper mainly solves the individual consistency and group consensus in the decision-making with hesitant fuzzy preference relations (HFPRs). The worst consistency index (WCI) is used to measure the individual consistency level. The envelop of an HFPR called envelop of HFPR (EHFRP) is proposed in the consensus reaching process (CRP). Two algorithms are proposed: one is to improve the WCI, in which only one pair of elements are revised in the consistency improving process each time, which aims to preserve the decision makers’ (DMs’) original information as much as possible. Another algorithm is proposed to improve the consensus in the CRP. To aggregate individual EHFPRs into one group HFPR, a new induced ordered weighted averaging (IOWA) operator is presented, called envelope HFPR-IOWA (EHFPR-IOWA), which allows the experts' preference to be aggregated in such a way that the most consistent ones are given more weight. Finally, an illustrative example and comparisons with the existing methods are provided to show the effectiveness of the proposed method.
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Shi H, Liu Z, Liu HC. A new linguistic preference relation-based approach for failure mode and effect analysis with dynamic consensus reaching process. Inf Sci (N Y) 2022. [DOI: 10.1016/j.ins.2022.08.043] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Hassani H, Razavi-Far R, Saif M, Zarei J, Blaabjerg F. Intelligent Decision Support and Fusion Models for Fault Detection and Location in Power Grids. IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE 2022. [DOI: 10.1109/tetci.2021.3104330] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Hossein Hassani
- Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada
| | - Roozbeh Razavi-Far
- Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada
| | - Mehrdad Saif
- Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada
| | - Jafar Zarei
- Department of Control Engineering, School of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, Iran
| | - Frede Blaabjerg
- Department of Energy Technology, Aalborg University, Aalborg, Denmark
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Yang Z, Zhang L, Li T. Group decision making with incomplete interval‐valued q‐rung orthopair fuzzy preference relations. INT J INTELL SYST 2021. [DOI: 10.1002/int.22588] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Ziyu Yang
- Business School Shandong University of Technology Zibo China
| | - Liyuan Zhang
- Business School Shandong University of Technology Zibo China
| | - Tao Li
- School of Mathematics and Statistics Shandong University of Technology Zibo China
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