An extended minimax disparity to determine the OWA operator weights

Authors:
Gholam R. Amin;Ali Emrouznejad
Affiliations:
Postgraduate Engineering Center, Islamic Azad University of South Tehran Branch, Tehran, Iran;Operations and Information Management Aston Business School, Aston University, Birmingham, UK
Venue:
Computers and Industrial Engineering
Year:
2006

Citing 7
Cited 22

On ordered weighted averaging aggregation operators in multicriteria decisionmaking

IEEE Transactions on Systems, Man and Cybernetics
Families of OWA operators

Fuzzy Sets and Systems
Essentials of fuzzy modeling and control

Essentials of fuzzy modeling and control
On obtaining minimal variability OWA operator weights

Fuzzy Sets and Systems - Theme: Multicriteria decision
Linear Programming and Network Flows

Linear Programming and Network Flows
A minimax disparity approach for obtaining OWA operator weights

Information Sciences: an International Journal
Some properties of the weighted OWA operator

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Two new models for determining OWA operator weights

Computers and Industrial Engineering
Notes on properties of the OWA weights determination model

Computers and Industrial Engineering
Aggregating preference rankings using OWA operator weights

Information Sciences: an International Journal
Choosing OWA operator weights in the field of Social Choice

Information Sciences: an International Journal
Orness and parameterized RIM quantifier aggregation with OWA operators: A summary

International Journal of Approximate Reasoning
Fuzzy quantifiers in sensitivity analysis of OWA operator

Computers and Industrial Engineering
A general model of parameterized OWA aggregation with given orness level

International Journal of Approximate Reasoning
MP-OWA: The most preferred OWA operator

Knowledge-Based Systems
On efficient WOWA optimization for decision support under risk

International Journal of Approximate Reasoning
A linear programming model for determining ordered weighted averaging operator weights with maximal Yager's entropy

Computers and Industrial Engineering
Improving minimax disparity model to determine the OWA operator weights

Information Sciences: an International Journal
Fuzzy decision making with immediate probabilities

Computers and Industrial Engineering
Determining more realistic OWA weights

FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
Document similarity: a new measure using OWA

FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
On the methods of OWA operator determination with different dimensional instantiations

FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
Using missing documents in metasearch aggregation: an application of OWA operator

FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
Decision-making with distance measures and induced aggregation operators

Computers and Industrial Engineering
On proving the extended minimax disparity OWA problem

Fuzzy Sets and Systems
Models to determine parameterized ordered weighted averaging operators using optimization criteria

Information Sciences: an International Journal
The relationship between the maximum entropy and minimax ratio RIM quantifier problems

Fuzzy Sets and Systems
Determining OWA operator weights by mean absolute deviation minimization

ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
Generalized logarithmic proportional averaging operators and their applications to group decision making

Knowledge-Based Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper contributes to extend the minimax disparity to determine the ordered weighted averaging (OWA) model based on linear programming. It introduces the minimax disparity approach between any distinct pairs of the weights and uses the duality of linear programming to prove the feasibility of the extended OWA operator weights model. The paper finishes with an open problem.