FAHPSort: A Fuzzy Extension of the AHPSort Method

Jana Krejčí () and Alessio Ishizaka
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Jana Krejčí: Department of Industrial Engineering, University of Trento, Via Sommarive 9, Povo 38123, Italy
Alessio Ishizaka: #x2020;Center for Operational Research and Logistics (CORL), Portsmouth Business School, University of Portsmouth, Portsmouth PO1 3DE, United Kingdom

International Journal of Information Technology & Decision Making (IJITDM), 2018, vol. 17, issue 04, 1119-1145

Abstract: Analytic Hierarchy process (AHP) is a powerful method belonging to the full aggregation family of multi-criteria decision-making methods based on pairwise comparisons of objects. Since the information about the problem is usually not complete in real decision-making problems, it is difficult to express precisely the preferences on pairs of compared objects. This problem has been handled in the literature by introducing fuzziness into AHP. However, neither AHP nor its fuzzy extensions can deal with sorting decision-making problems, which form a significant part of decision-making problems. This paper presents the FAHPSort method — a fuzzy extension of the AHPSort method, which is an adaptation of the AHP method for sorting decision-making problems. The FAHPSort method handles the vagueness in the meaning of linguistic terms expressing the intensity of preference of one object over another one. Key properties of the FAHPSort method are described in the paper, and the method is illustrated in a decision-making problem.

Keywords: FAHPSort; AHPSort; sorting; fuzzy AHP; fuzzy pairwise comparison matrix; constrained fuzzy arithmetic (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (3)

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DOI: 10.1142/S0219622018400011

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