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In defense of group fuzzy AHP: A comparison of group fuzzy AHP and group AHP with confidence intervals

Expert Systems With Applications, 2021
Abstract Group aggregation of the Analytic Hierarchy Process (AHP), both with crisp and fuzzy numbers, is a widely researched field in group multiple criteria decision-making. Typically, if uncertainty needs to be reflected in the outcome of an AHP, triangular fuzzy numbers are used, although this is a controversial method, as many argue that the ...
David Claudio
exaly   +3 more sources

Calibrated fuzzy AHP for current bank account selection [PDF]

open access: yesExpert Systems With Applications, 2013
Alessio Ishizaka
exaly   +2 more sources

On solving large data matrix problems in Fuzzy AHP

Expert Systems With Applications, 2022
Rajesh Prabhu Gaonkar   +1 more
exaly  

A novel approach integrating AHP and TOPSIS under spherical fuzzy sets for advanced manufacturing system selection

Engineering Applications of Artificial Intelligence, 2020
Michael Ryan   +2 more
exaly  

A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection

Applied Soft Computing Journal, 2014
Francisco Rodrigues Lima Junior   +2 more
exaly  

Evaluating teaching performance based on fuzzy AHP and comprehensive evaluation approach

Applied Soft Computing Journal, 2015
Quang Hung Do, Jeng-Fung Chen
exaly  

Fuzzy AHP-based multicriteria decision making systems using particle swarm optimization

Expert Systems With Applications, 2012
Charles Scawthorn, Junji Kiyono
exaly  

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