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 |
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Pages (from-to) | 3775-3783 |
Number of pages | 9 |
Journal | Expert Systems with Applications |
Volume | 40 |
Issue number | 9 |
DOIs | |
Publication status | Published - Jul 2013 |