FUZZY ANALYTIC HIERARCHY PROCESS: A COMPREHENSIVE LITERATURE REVIEW
Monzer Alharairi, Saman Hassanzadeh Amin, Saeed Zolfaghari, Liping Fang
Abstract
This literature review explores the advancements and applications of Fuzzy Analytic Hierarchy Process (FAHP) technique between 2019 and 2024, in addition to the studies that combined or compared FAHP with other methods. FAHP integrates Analytic Hierarchy Process (AHP) with fuzzy set theory to manage uncertainty and imprecision in Multi-Criteria Decision-Making (MCDM) problems. This review covers 85 papers from prominent journals using well-known databases. It introduces a novel taxonomy that categorizes FAHP research into three main categories: outcome types, methodological variations, and application domains, with further subcategories explained in this paper. This paper highlights diverse applications of FAHP across many fields and domains, proving FAHP’s effectiveness in addressing complex decision problems. Observations reveal FAHP’s strength in uncertain problems, while gaps in the literature call for further exploration in less applied fields like agriculture and healthcare. Other future research directions also are discussed in this paper.