Consistency Indices in Analytic Hierarchy Process: A Review

Sangeeta Pant, Anuj Kumar, Mangey Ram, Yury Klochkov and Hitesh Kumar Sharma
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Sangeeta Pant: Department of Mathematics, University of Petroleum & Energy Studies, Dehradun 248007, India
Anuj Kumar: Department of Mathematics, University of Petroleum & Energy Studies, Dehradun 248007, India
Mangey Ram: Department of Mathematics, Graphic Era Deemed to be University, Dehradun 248002, India
Yury Klochkov: Academic Development Management, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia
Hitesh Kumar Sharma: School of Computer Science, University of Petroleum & Energy Studies, Dehradun 248007, India

Mathematics, 2022, vol. 10, issue 8, 1-15

Abstract: A well-regarded as well as powerful method named the ‘analytic hierarchy process’ (AHP) uses mathematics and psychology for making and analysing complex decisions. This article aims to present a brief review of the consistency measure of the judgments in AHP. Judgments should not be random or illogical. Several researchers have developed different consistency measures to identify the rationality of judgments. This article summarises the consistency measures which have been proposed so far in the literature. Moreover, this paper describes briefly the functional relationships established in the literature among the well-known consistency indices. At last, some thoughtful research directions that can be helpful in further research to develop and improve the performance of AHP are provided as well.

Keywords: analytic hierarchy process (AHP); multi-criteria decision-making (MCDM); consistency measure; nature-inspired optimization technique; reliability optimization (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

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