What is it about?
We compared the performance of various FAHP algorithms using both Monte Carlo simulations and empirical data that we collected from human subjects. In addition to evaluating existing algorithms, we also introduced our own proposed method.
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Why is it important?
Fuzzy AHP (FAHP), have been extensively studied and applied to a variety of MCDM problems. Given that AHP relies on subjective judgments from decision-makers to determine criteria weights and alternative scores, and that these judgments are often imprecise, it is natural to model them using fuzzy sets rather than exact numbers. This viewpoint has prompted the development of a variety of FAHP algorithms in literature. But how do they perform?
Perspectives
To our surprise, we found that popular FAHP algorithms performed poorly in our tests. This unexpected result garnered significant attention within the research community.
Prof. Kemal Kilic
Sabanci Universitesi
Read the Original
This page is a summary of: Fuzzy Analytic Hierarchy Process: A performance analysis of various algorithms, Fuzzy Sets and Systems, May 2019, Elsevier,
DOI: 10.1016/j.fss.2018.08.009.
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