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...

Bibliografiset tiedot
Päätekijä:	Shengbao Yao
Aineistotyyppi:	Artikkeli
Kieli:	English
Julkaistu:	Springer 2018-11-01
Sarja:	International Journal of Computational Intelligence Systems
Aiheet:	Multi-attribute group decision-making Linguistic distribution assessments Consensus reaching Distance measure Optimization
Linkit:	https://www.atlantis-press.com/article/125905656/view

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