A systematic literature review of fuzzy-weighted zero-inconsistency and fuzzy-decision-by-opinion-score-methods: assessment of the past to inform the future

Author:

Muhsen Yousif Raad12,Husin Nor Azura1,Zolkepli Maslina Binti1,Manshor Noridayu1

Affiliation:

1. Department of Computer Science, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia

2. Civil Department, College of Engineering, Wasit University, Iraq

Abstract

 The Fuzzy-Weighted Zero-Inconsistency (FWZIC) and Fuzzy-Decision-by-Opinion-Score-Method (FDOSM) are considered the recent advance methods. FDOSM generates a ranking for possible alternatives, while FWZIC produces a weight for criterion. Keeping up with the stream of academic publications on the FDOSM and FWZIC methods is complicated. This study aims to provide a comprehensive review of the literature on the latest advanced methods of MCDM in order to reorganize the findings of the previous literature and provide decisive evidence for ongoing research and future studies. Based on previous literature, the current study used the Prisma method to collect data from multiple databases such as IEEE Xplore®, ScienceDirect, and Web of Science. There were 45 papers discovered relevant to this subject; however, only 23 studies were relevant for the FDOSM & FWZIC study. The results included theoretical and practical implications. Theoretically, additions of new aggregation operators or usage of new fuzzy sets in the FDOSM & FWZIC model to solve the uncertainty problem are the key obstacles. Practically, agriculture and architectural fields are considered to be a hotspot of research. Finally, a number of potential points for future research to develop methods with high certainty and low ambiguity are presented.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference65 articles.

1. An overview of MULTIMOORA for multi-criteria decision-making: Theory, developments, applications, and challenges;Hafezalkotob;Inf. Fusion,2019

2. Relative basic uncertain information in preference and uncertain involved information fusion;Jin;Int. J. Comput. Intell. Syst.,2022

3. Survey on fuzzy TOPSIS state-of-the-art between and;Salih;Comput. Oper. Res.,2019

4. A comprehensive evaluation approach for efficient countermeasure techniques against timing side-channel attack on MPSoC-based IoT using multi-criteria decision-making methods;Al-Hchaimi;Egypt. Informatics J.,2023

5. Circular economy of medical waste: novel intelligent medical waste management framework based on extension linear Diophantine fuzzy FDOSM and neural network approach;Chew;Environ. Sci. Pollut. Res.,2023

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