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

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...

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Bibliografiska uppgifter
Huvudupphovsman:	Shengbao Yao
Materialtyp:	Artikel
Språk:	English
Publicerad:	Springer 2018-11-01
Serie:	International Journal of Computational Intelligence Systems
Ämnen:	Multi-attribute group decision-making Linguistic distribution assessments Consensus reaching Distance measure Optimization
Länkar:	https://www.atlantis-press.com/article/125905656/view

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