Calibrated fuzzy AHP for current bank account selection

Alessio Ishizaka, N. Hoang

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    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 languageEnglish
    Pages (from-to)3775-3783
    Number of pages9
    JournalExpert Systems with Applications
    Issue number9
    Publication statusPublished - Jul 2013


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