Calibrated fuzzy AHP for current bank account selection

Alessio Ishizaka; N. Hoang

doi:10.1016/j.eswa.2012.12.089

Calibrated fuzzy AHP for current bank account selection

Alessio Ishizaka, N. Hoang

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Abstract

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.

Original language	English
Pages (from-to)	3775-3783
Number of pages	9
Journal	Expert Systems with Applications
Volume	40
Issue number	9
DOIs	https://doi.org/10.1016/j.eswa.2012.12.089
Publication status	Published - Jul 2013

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Calibrated fuzzy AHP for current bank account selection

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