A New Distance-Based Consensus Reaching Model for Multi-Attribute Group Decision-Making with Linguistic Distribution Assessments

This paper proposes a novel consensus reaching model for multi-attribute group decision making (MAGDM) with information represented by means of linguistic distribution assessments. Firstly, some drawbacks of the existing distance measures for linguistic distribution assessments are analyzed by using...

詳細記述

書誌詳細
第一著者: Shengbao Yao
フォーマット: 論文
言語:English
出版事項: Springer 2018-11-01
シリーズ:International Journal of Computational Intelligence Systems
主題:
オンライン・アクセス:https://www.atlantis-press.com/article/125905656/view

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