Calibrated fuzzy AHP for current bank account selection

Published on Jul 1, 2013in Expert Systems With Applications4.292
· DOI :10.1016/j.eswa.2012.12.089
Alessio Ishizaka26
Estimated H-index: 26
(University of Portsmouth),
Nam Hoang Nguyen1
Estimated H-index: 1
(University of Portsmouth)
Fuzzy AHP is a hybrid method that combines Fuzzy Set Theory and AHP. It has been developed to take into account uncertainty and imprecision in the evaluations. Fuzzy Set Theory requires the definition of a membership function. At present, there are no indications of how these membership functions can be constructed. In this paper, a way to calibrate the membership functions with comparisons given by the decision-maker on alternatives with known measures is proposed. This new technique is illustrated in a study measuring the most important factors in selecting a student current account.
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