Title
An Analytic Approach to Group Decision Making with Uncertain Linguistic Preference Information
Abstract
This paper proposes an approach to solve the group decision-making (GDM) problem, in which the information about the attribute weights are uncertain linguistic variables, the expert weights are numbers, and the uncertain multiple attributes provided by decision makers are represented in uncertain linguistic preference information. In order to compute collective ranking values of alternatives based on uncertain linguistic preference information, a new uncertain linguistic weighted aggregation (ULWA) operator and the formula of possibility for comparing two uncertain linguistic variables are defined. Thus, individual uncertain linguistic preferences can be aggregated into a collective preference and ranking of the alternatives or selection of the best alternative(s) is obtained based on the ULWA operator and the formula of possibility for comparing two uncertain linguistic variables. A numerical example is used to illustrate the applicability of the proposed approach.
Year
DOI
Venue
2007
10.1109/FSKD.2007.140
FSKD (1)
Keywords
Field
DocType
group decision,ulwa operator,collective preference,uncertain linguistic weighted aggregation,uncertain multiple,uncertain linguistic variable,uncertain linguistic preference information,attribute weight,collective ranking value,analytic approach,individual uncertain linguistic preference,decision maker,group decision making,linguistics
Ranking,Computer science,Operator (computer programming),Artificial intelligence,Linguistics,Machine learning,Group decision-making
Conference
ISBN
Citations 
PageRank 
0-7695-2874-0
0
0.34
References 
Authors
6
2
Name
Order
Citations
PageRank
Xia Chen101.01
Zhi-Ping Fan2161792.73