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Abstract:
This paper designs a consensus reaching process (CRP) with minimum adjustment considering that decision makers (DMs) have a tolerance for changing their preferences, which means DMs only accept the adjustment if such adjustment fall within their tolerance interval. In addition, two consensus rules are considered: minimum distance between original and adjusted preferences, and minimum number of adjusted preferences. Unlike to classical CRP, our proposal includes a reliability detection of adjusted preferences, in order to avoid biased solutions because of the inherent subjectivity of group decision-making problems. To obtain the agreed adjusted opinions and their reliability, the two-dimensional 2-tuple linguistic (TD2L) information is used in which, the first dimension of a TD2L is 2-tuple linguistic value that assess the adjusted preference and, the second dimension information is another 2-tuple linguistic value assessing the reliability degree of the adjusted preferences, which is derived according to similarity between adjusted and original preferences. Then a novel comparison method for TD2Ls is developed. Finally, an illustrative example is given to verify the proposed method and the results show that the approach is feasible and effective.
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IEEE CIS INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS 2021 (FUZZ-IEEE)
ISSN: 1098-7584
Year: 2021
Language: English
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 1
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