Fuzzy Decision by Opinion Score Method (FDOSM): A Systematic Review

Abstract

 Multiple criterion decision-making (MCDM) has been widely utilized in everyday life in various
ways, with countless success stories aiding in the analysis of complicated problems and the provision of an
accurate decision process. To date, MCDM remains the best strategy to provide the finest solutions to solve
complex problems in the field of specialized systems. Even so, several challenges faced MCDM approaches, as
mentioned in academic literature. The most significant challenges are uncertainty and ambiguity. The fuzzy
decision by opinion score method (FDOSM) is one of the most recent MCDM methods. Consequently, the purpose
of this study was to examine and assess publications regarding the various types of developments of FDOSM in
recent years and to collect the essential literature findings. Fundamentally, based on systematic review protocol,
the searching process was conducted across four major databases, including IEEE Xplore (IEEE), ScienceDirect
(SD), Scopus, and PubMed from the date of publishing of FDOSM article, based on particular Query "(MCDM OR
'Multi-criteria decision-making') AND (FDOSM OR 'Fuzzy decision by opinion score method') AND (Fuzzy)
AND ('development method' OR 'developing'). The data collection process started on 23 August 2023 and ended
on 30 October 2023, which included several scientific studies related to development FDOSM across several fuzzy
types. These indexes are considered extensive and dependable enough to have the scope of our literature review.
A final set of articles, n=22, was selected depended on predefined inclusion and exclusion criteria for this study.
A coherent classification for current studies has been formed according to the development of FDOSM based on a
new extension of a fuzzy set. Other aspects, such as the research method followed, the protocol adopted by the
systematic review, and demographic statistics of the literature distribution, were included. Exciting patterns were
observed, which were compiled and analyzed in tabular format according to their importance. The results of this
literature systematic review provide a precise summary of each recent development concerning the FDOSM and its
use, including: 1- Extracting the development types employed in the FDOSM method, 2- Extracting aggregation
operator types, 3- Integration Method with FDOSM (hybrid with other methods), and 4- Case study types showing
how FDOSM approaches may help decision-makers in numerous decisions. Finally, this study highlights research
opportunities and encourages current and future efforts to better comprehend this field.