In complex decision making, using multicriteria decision-making (MCDM)methodologies is the most scientific way to ensure an\ninformed and justified decision between several alternatives.MCDMs have been used in different ways andwith several applications\nthat proved their efficiency in achieving this goal. In this research, the advantages and disadvantages of the different MCDM\nmethodologies are studied, along with the different techniques implemented to increase their accuracy and precision.Themain aim\nof the study is to develop a hybridMCDMprocess that combines the strengths of severalMCDMmethods and apply it to choose the\nbest fit maintenance policy/strategy for industrial application.Moreover, fuzzy linguistic terms are utilized in all of the usedMCDM\ntechniques in order to eliminate the uncertainty and ambiguity of the results. Through an extensive literature review performed\non studies that have used MCDMmethods in a hybrid context and using fuzzy linguistic terms, a model is developed to use fuzzy\nDEMATEL-AHP-TOPSIS hybrid technique. The model with its application is the first of its kind, which combines the strengths of\nfuzzy DEMATEL in establishing interrelationships between several criteria, as well as performing a pairwise comparison between\nthe criteria for prioritization using the fuzzy AHP method. Thereafter, the alternatives are compared using fuzzy TOPSIS method\nby establishing negative and positive solutions and calculating the relative closeness for each of the alternatives. Furthermore, six\nmain criteria, twenty criteria, and five alternatives are selected from the literature for the model application.
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