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...
第一著者: | Shengbao Yao |
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フォーマット: | 論文 |
言語: | English |
出版事項: |
Springer
2018-11-01
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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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