Title: Comparison of fuzzy logic, AHP, FAHP and hybrid fuzzy AHP for new supplier selection and its performance analysis

Authors: Alessio Ishizaka

Addresses: University of Portsmouth, Portsmouth Business School, Richmond Building, Portsmouth PO1 3ED, UK

Abstract: The supplier selection is critical towards the success of a company. This paper compares four different methods to support decision makers in selecting the most appropriate supplier. When using Fuzzy logic, the importance of each criterion gets influenced by the level of decomposition in the hierarchical model. Fuzzy logic does not have the capability to measure the level of consistency in the judgments provided by a decision maker. On the other hand, analytic hierarchy process (AHP) cannot capture subjectivity (or fuzziness) of human judgements as the verbal assessments are converted into crisp values. Fuzzy analytic hierarchy process (FAHP) is a merger of the two methods, Fuzzy logic and the Analytic Hierarchy Process (AHP), which inherits the advantages of both and, therefore, addresses the above mentioned problems. The FAHP method is useful in identifying a suitable supplier and to evaluate its performance as demonstrated in the described case study.

Keywords: supplier evaluation; analytical hierarchy process; fuzzy logic; FAHP; hybrid fuzzy AHP; consistency; supplier selection; performance evaluation; case study.

DOI: 10.1504/IJISM.2014.064353

International Journal of Integrated Supply Management, 2014 Vol.9 No.1/2, pp.1 - 22

Received: 16 Aug 2013
Accepted: 17 Dec 2013
Published online: 19 Aug 2014 *

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