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Two-Tuple Linguistic Information in Group Decision-Making Problem

Authors :
Hong Yu Guan
Yi Yu Chen
Xian Chen Zhu
Source :
Applied Mechanics and Materials. :2020-2023
Publication Year :
2015
Publisher :
Trans Tech Publications, Ltd., 2015.

Abstract

In this paper, we study the group decision making (GDM) problem with two-tuple linguistic information .we propose a way to calculate the comprehensive assessment information. Then average preference degree of one alternative over all the other alternatives is calculated. Thus, the ranking of alternatives is obtained by the comparison of linguistic two-tuple information.

Subjects

Subjects :
Degree (graph theory)
business.industry
Weighted average operator
General Medicine
Machine learning
computer.software_genre
Preference
Ranking (information retrieval)
Group decision-making
Rule-based machine translation
Artificial intelligence
Tuple
business
computer
Natural language processing
Mathematics

Details

ISSN :
16627482
Database :
OpenAIRE
Journal :
Applied Mechanics and Materials
Accession number :
edsair.doi...........4782d566faeba88404b09c463325ff5b

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