Controlling the worst consistency index for hesitant fuzzy linguistic preference relations in consensus optimization models

Volume: 143, Pages: 106423 - 106423
Published: May 1, 2020
Abstract
Consistency and consensus using hesitant fuzzy linguistic preference relations (HFLPRs) are two closely related issues for group decision making. However, there are still some gaps that need to be addressed: the normalization methods applied in previous research change the initial information, most approaches modify every element of the original HFLPRs, and the consistency level is uncontrolled in the consensus reaching process. In this paper,...
Paper Details
Title
Controlling the worst consistency index for hesitant fuzzy linguistic preference relations in consensus optimization models
Published Date
May 1, 2020
Volume
143
Pages
106423 - 106423
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