On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
A data envelopment model for aggregating preference rankings
Management Science
Analytic properties of maximum entropy OWA operators
Information Sciences—Informatics and Computer Science: An International Journal
The ordered weighted averaging operators: theory and applications
The ordered weighted averaging operators: theory and applications
An analytic approach for obtaining maximal entropy OWA operator weights
Fuzzy Sets and Systems
Linear Programming and Network Flows
Linear Programming and Network Flows
A minimax disparity approach for obtaining OWA operator weights
Information Sciences: an International Journal
An extended minimax disparity to determine the OWA operator weights
Computers and Industrial Engineering
A preemptive goal programming method for aggregating OWA operator weights in group decision making
Information Sciences: an International Journal
Two new models for determining OWA operator weights
Computers and Industrial Engineering
Aggregation of web search engines based on users' preferences in WebFusion
Knowledge-Based Systems
The solution equivalence of minimax disparity and minimum variance problems for OWA operators
International Journal of Approximate Reasoning
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
Information Sciences: an International Journal
Choosing OWA operator weights in the field of Social Choice
Information Sciences: an International Journal
Using trapezoids for representing granular objects: Applications to learning and OWA aggregation
Information Sciences: an International Journal
Preference relation approach for obtaining OWA operators weights
International Journal of Approximate Reasoning
A general model of parameterized OWA aggregation with given orness level
International Journal of Approximate Reasoning
On the equivalence of some approaches to the OWA operator and RIM quantifier determination
Fuzzy Sets and Systems
MP-OWA: The most preferred OWA operator
Knowledge-Based Systems
OWA operators with maximal Rényi entropy
Fuzzy Sets and Systems
OWA trees and their role in security modeling using attack trees
Information Sciences: an International Journal
Some properties of the weighted OWA operator
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Some Quantifier Functions From Weighting Functions With Constant Value of Orness
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Information Sciences: an International Journal
Information Sciences: an International Journal
On proving the extended minimax disparity OWA problem
Fuzzy Sets and Systems
Optimizing search engines results using linear programming
Expert Systems with Applications: An International Journal
Parametric aggregation in ordered weighted averaging
International Journal of Approximate Reasoning
Uncertain generalized aggregation operators
Expert Systems with Applications: An International Journal
Models to determine parameterized ordered weighted averaging operators using optimization criteria
Information Sciences: an International Journal
International Journal of Intelligent Systems
The relationship between the maximum entropy and minimax ratio RIM quantifier problems
Fuzzy Sets and Systems
Cluster-reliability-induced OWA operators
International Journal of Intelligent Systems
Information Sciences: an International Journal
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Determining the Ordered Weighted Averaging (OWA) operator weights is important in decision making applications. Several approaches have been proposed in the literature to obtain the associated weights. This paper provides an alternative disparity model to identify the OWA operator weights. The proposed mathematical model extends the existing disparity approaches by minimizing the sum of the deviation between two distinct OWA weights. The proposed disparity model can be used for a preference ranking aggregation. A numerical example in preference ranking and an application in search engines prove the usefulness of the generated OWA weights.