Consideration of reciprocal judgments through Decomposed Fuzzy Analytical Hierarchy Process: A case study in the pharmaceutical industry

• Published in: Applied soft computing Vol. 134; p. 110000
• Main Authors: Cebi, Selcuk, Gündoğdu, Fatma Kutlu, Kahraman, Cengiz
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.02.2023
• Subjects: Analytic hierarchy process; Decomposed Fuzzy Sets; Pharmaceutical industry; Pythagorean fuzzy AHP; Reciprocal questions; Third party logistic; Decomposed Fuzzy Sets; Pharmaceutical industry; Third party logistic; Pythagorean fuzzy AHP; Analytic hierarchy process; Reciprocal questions
• ISSN: 1568-4946; 1872-9681
• DOI: 10.1016/j.asoc.2023.110000

The number of academic research considering improvements/applications in the multiple criteria decision-making (MCDM) field has been increasing in the literature day by day. Among these works, the most used MCDM method is undoubtedly the analytic hierarchy process (AHP). Decomposed Fuzzy Sets (DFS) have been recently proposed to the literature in order to measure the inconsistency in expert judgments by providing optimistic and pessimistic point of view. The main objective of this paper is to extend AHP method by using DFS. DFS makes pairwise comparisons in AHP more reliable by considering the individual answers given by the decision makers to the reciprocal questions under vagueness and impreciseness. The proposed method, Decomposed Fuzzy Analytic Hierarchy Process (DF-AHP), is applied to determine the importance degrees of evaluation criteria in the pharmaceutical industry in order to illustrate the applicability of the approach. Based on the results, the “quality” is determined to be the most significant criterion in this industry. The results obtained from DF-AHP are compared with the results obtained from both traditional AHP and Pythagorean fuzzy AHP. The comparative analysis has also shown the most significant criterion is the same with the proposed method but slightly differences in the rank of the sub-criteria. The research can help businesses better understand the critical risks in the pharmaceutical industry. •Proposing the Decomposed Fuzzy Analytic Hierarchy Process (DF-AHP).•Using the DF-AHP for evaluating 3PL service criteria in the Pharmaceutical Industry.•Expressing decision-makers’ evaluations considering optimistic/pessimistic views.