Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

A method to solve Multi-attribute Group linguistic Decision-Making problems

Authors
Hua Zhao1, Zheng Pei, Fang An Deng
1School of Mathematics & Computer Engineering, Xihua University
Corresponding Author
Hua Zhao
Available Online October 2007.
DOI
https://doi.org/10.2991/iske.2007.256How to use a DOI?
Keywords
Multi-attribute Group decisionmaking (MAGDM); Fuzzy linguistic approach; The consensus importance degree
Abstract

This paper presents a method to solve multiattribute group decision-making with linguistic assessment. The method is based on the use of fuzzy linguistic approach, and on the use of fuzzy majority of consensus, represented by means of a linguistic quantifier. The individual consensus preference degrees and the individual consensus importance degrees are defined. The primary focus of this paper is to obtain an available scheme array over the set of alternatives

Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
978-90-78677-04-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/iske.2007.256How to use a DOI?
Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hua Zhao
AU  - Zheng Pei
AU  - Fang An Deng
PY  - 2007/10
DA  - 2007/10
TI  - A method to solve Multi-attribute Group linguistic Decision-Making problems
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 1501
EP  - 1507
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.256
DO  - https://doi.org/10.2991/iske.2007.256
ID  - Zhao2007/10
ER  -