On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Analytic properties of maximum entropy OWA operators
Information Sciences—Informatics and Computer Science: An International Journal
Implementation of OWA operators in fuzzy querying for Microsoft Access
The ordered weighted averaging operators
On the issue of obtaining OWA operator weights
Fuzzy Sets and Systems
An analytic approach for obtaining maximal entropy OWA operator weights
Fuzzy Sets and Systems
On obtaining minimal variability OWA operator weights
Fuzzy Sets and Systems - Theme: Multicriteria decision
Generalized OWA Aggregation Operators
Fuzzy Optimization and Decision Making
A minimax disparity approach for obtaining OWA operator weights
Information Sciences: an International Journal
Two new models for determining OWA operator weights
Computers and Industrial Engineering
Aggregation of ordinal information
Fuzzy Optimization and Decision Making
Aggregation of fuzzy preference relations to multicriteria decision making
Fuzzy Optimization and Decision Making
Fuzzy Optimization and Decision Making
OWA operators with maximal Rényi entropy
Fuzzy Sets and Systems
Recent advances in intuitionistic fuzzy information aggregation
Fuzzy Optimization and Decision Making
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One of the key issues in the theory of ordered weighted averaging operator is the determination of OWA operator weights. In this paper, a simple combination approach for obtaining minimal disparity OWA operator weights is proposed. The proposed approach generates the OWA operator weights by minimizing the combination disparity between any two adjacent weights and its expectation. This involves the formulation and solution of a linear programming model and a quadratic programming model for a given degree of orness. A numerical example demonstrated simpleness and effectiveness of the methods proposed in this paper.