There is no mathematical validity for using fuzzy number crunching in the analytic hierarchy process

By Thomas L. Saaty. 2006

104 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/3db82719ededd895a90b04f1f93774dbcc823e0c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. S. Sipahi
2. Claudia M. Eckert
3. Yan Liu
4. C. Earl
5. Mehpare Timor

In Management Science and Operations Research

1. S. Sipahi
2. Claudia M. Eckert
3. Yan Liu
4. C. Earl
5. Mehpare Timor
6. Alessio Ishizaka

Citations in the corpus

• The analytic hierarchy process and analytic network process: an overview of applications (2010, result): “Although the use of fuzziness has been increasing, fuzziness in AHP has been criticized in that the fuzzy approach does not yield better results than the simpler and more direct approach of the AHP and does not yield more-valid priorities (Saaty, 2006).”
• A review of fuzzy AHP methods for decision-making with subjective judgements (2020, background): “However, as discussed in Kubler et al. (2016), the extent of benefits brought by introducing this fuzzy paradigm to AHP is not clear, especially given that Saaty (2006) argued that the pairwise judgements are fuzzy enough.”