Title
An Interval-Valued 2-Tuple Linguistic Group Decision-Making Model Based On The Choquet Integral Operator
Abstract
The Choquet integral (IL) operator is an effective approach for handling interdependence among decision attributes in complex decision-making problems. However, the fuzzy measures of attributes and attribute sets required by IL are difficult to achieve directly, which limits the application of IL. This paper proposes a new method for determining fuzzy measures of attributes by extending Marichal's concept of entropy for fuzzy measure. To well represent the assessment information, interval-valued 2-tuple linguistic context is utilised to represent information. Then, we propose a Choquet integral operator in an interval-valued 2-tuple linguistic environment, which can effectively handle the correlation between attributes. In addition, we apply these methods to solve multi-attribute group decision-making problems. The feasibility and validity of the proposed operator is demonstrated by comparisons with other models in illustrative example part.
Year
DOI
Venue
2018
10.1080/00207721.2017.1407007
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
Keywords
Field
DocType
Multi-attribute group decision-making (MAGDM), interval-valued 2-tuple linguistic, Choquet integral operator, fuzzy measure
Tuple,Fuzzy logic,Operator (computer programming),Choquet integral,Linguistics,Mathematics,Group decision-making
Journal
Volume
Issue
ISSN
49
2
0020-7721
Citations 
PageRank 
References 
3
0.37
41
Authors
6
Name
Order
Citations
PageRank
Bingsheng Liu11778.56
Meiqing Fu230.37
Shuibo Zhang330.37
Bin Xue42312.87
Qi Zhou5159962.46
Shiruo Zhang630.37