An Acceptable Consistency-Based Framework for Group Decision Making with Intuitionistic Preference Relations |
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Authors: | Zhou-Jing Wang Yuhong Wang Kevin W. Li |
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Affiliation: | 1.School of Information,Zhejiang University of Finance and Economics,Hangzhou,China;2.School of Business,Jiangnan University,Wuxi,China;3.Odette School of Business,University of Windsor,Windsor,Canada |
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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. |
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