Decision-making with distance measures and induced aggregation operators
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Fuzzy induced generalized aggregation operators and its application in multi-person decision making
Expert Systems with Applications: An International Journal
Decision-making in sport management based on the OWA operator
Expert Systems with Applications: An International Journal
A unified model between the weighted average and the induced OWA operator
Expert Systems with Applications: An International Journal
The quasi-arithmetic intuitionistic fuzzy OWA operators
Knowledge-Based Systems
Fuzzy aggregation operators in decision making with Dempster-Shafer belief structure
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Maximum Bayesian entropy method for determining ordered weighted averaging operator weights
Computers and Industrial Engineering
Probabilities in the OWA operator
Expert Systems with Applications: An International Journal
The probabilistic weighted average and its application in multiperson decision making
International Journal of Intelligent Systems
Determination of Ordered Weighted Averaging Operator Weights Based on the M-Entropy Measures
International Journal of Intelligent Systems
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Fuzzy decision making with induced heavy aggregation operators and distance measures
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
The quasi-arithmetic triangular fuzzy OWA operator based on Dempster-Shafer theory
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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We present the fuzzy generalized ordered weighted averaging (FGOWA) operator. It is an extension of the GOWA operator for uncertain situations where the available information is given in the form of fuzzy numbers. This generalization includes a wide range of mean operators such as the fuzzy average (FA), the fuzzy OWA (FOWA), and the fuzzy generalized mean (FGM). We also develop a further generalization by using quasi-arithmetic means that we call the quasi-FOWA operator. The article ends with an illustrative example where we apply the new approach in the selection of strategies.