An Acceptable Consistency-Based Framework for Group Decision Making with Intuitionistic Preference Relations

Zhou-Jing Wang, Yuhong Wang () and Kevin W. Li
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Zhou-Jing Wang: Zhejiang University of Finance and Economics
Yuhong Wang: Jiangnan University
Kevin W. Li: University of Windsor

Group Decision and Negotiation, 2016, vol. 25, issue 1, No 8, 202 pages

Abstract: Abstract This article studies acceptable consistency of intuitionistic preference relations (IPRs) and examines how to aggregate individual IPRs into a collective judgment in a group decision making (GDM) context. A consistency index is first introduced to measure the consistency level, thereby defining acceptable consistency for IPRs. If a decision-maker is unwilling or unavailable to revise his/her judgment for an IPR with unacceptable consistency, an automated approach is developed to improve its consistency to an acceptable level. The acceptably consistent IPRs are subsequently aggregated into a group opinion by using an induced ordered weighted averaging operator. A procedure is then proposed to solve GDM problems with IPRs. An illustrative example is presented to demonstrate the effectiveness and applicability of the proposed approach.

Keywords: Intuitionistic preference relation (IPR); Acceptable consistency; Weighted averaging; Aggregation; Group decision making (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s10726-015-9438-6

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