A SYSTEMATIC REVIEW AND META-ANALYSIS OF FUZZY ARAS (ARASF) METHOD

Abstract

Multi-criteria decision making (MCDM) methods help decision makers and practitioners in solving
problems in an environment of uncertainty. Solving an MCDM problem involves evaluating a set of
potential alternatives based on qualitative and quantitative criteria.Multi-criteria decision making (MCDM) methods can be effectively applied to determine the degree
of benefit and prioritize. ARAS method is one of these methods. ARAS, fuzzy logic approach and
ARAS method are used together by experts to overcome uncertainties and obtain clearer solutions.
The solution to these problems largely depends on the evaluations and preferences of decision
makers. Fuzzy ARAS (ARAS-F) method is widely used due to its high accuracy and consistency in
ranking alternatives. In this study, it is discussed in order to present a practical application of the
fuzzy ARAS (ARAS-F) methodology, one of the MCDM methods. Regarding this, important
databases such as Web of Science, Scopus and Google Scholar were nominated and a systematic
and meta-analysis method called "PRISMA" was proposed. In this study, a practical application
guide of the fuzzy ARAS (ARAS-F) method methodology has been created for decision makers and
practitioners. The study includes full-text articles retrieved from various literature platforms using
verified keywords. Articles are reviewed to reveal the research results of the fuzzy ARAS (ARASF) methodology. The study suggests that decision makers should focus more on sectoral
applications with the fuzzy ARAS (ARAS-F) methodology. The study allows to draw the attention
of decision makers and stakeholders to a practical application of the fuzzy ARAS (ARAS-F)
methodology. an overview of the fuzzy ARAS (ARAS-F) methodology and its basic principles; It is
a guide for academics and decision makers.