Title
A Goal Programming Approach To Group Decision Making With Incomplete Fuzzy And Interval Preference Relations
Abstract
In order to solve group decision making (GDM) problems where the preference relations are provided by decision makers with incomplete fuzzy and interval numbers, this paper develops a GDM approach on the basis of multiple objective optimization and goal programming methods. The proposed approach first analyzes the two types of preference relations and then builds their respective optimization models. Subsequently, an integrated programming model combining the two preference relations is developed to minimize the inconsistency among the decision makers' opinions. By solving the programming model, the ranking of alternatives or selection of the most desirable alternative can be obtained using the intermediate priority vector. Two numerical examples including incomplete fuzzy and interval preference relations are examined to illustrate and show the applicability of the proposed approach.
Year
DOI
Venue
2012
10.1142/S0218488512500183
INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS
Keywords
Field
DocType
Group decision making, goal programming, incomplete fuzzy preference relations, incomplete interval preference relations, priority vector
Mathematical optimization,Ranking,Programming paradigm,Fuzzy logic,Goal programming,Artificial intelligence,Mathematics,Machine learning,Group decision-making
Journal
Volume
Issue
ISSN
20
3
0218-4885
Citations 
PageRank 
References 
0
0.34
25
Authors
4
Name
Order
Citations
PageRank
Jiang Jiang1325.60
Xuan Li200.34
Ying-wu Chen322716.61
Dawei Tang41566.95