| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 382771 | Expert Systems with Applications | 2013 | 9 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Alessio Ishizaka, Nam Hoang Nguyen,