Selecting the most suitable equipment for production is a complex decision-making problem due to the presence of multiple and often conflicting criteria. Decision makers must evaluate several alternatives and criteria simultaneously, which makes it difficult to identify the optimal choice. Although Many Multi-Criteria Decision-Making (MCDM) approaches have been proposed in the literature, most assume that the criterion values are precise and clearly define an assumption that rarely holds in real-world applications. To address this limitation, this study employs the fuzzy Choquet Integral method, which incorporates fuzzy logic to handle the uncertainty and subjectivity inherent in expert evaluations. Through this approach, decision makers can express their assessments using linguistic terms instead of precise numerical values, thereby reducing potential bias in subjective judgments. The proposed method was applied to a real-world industrial sewing machine selection problem in a textile company. Six alternative machines were evaluated across six criteria, using linguistic assessments provided by the production manager. The fuzzy Choquet Integral model was then used to aggregate these evaluations and determine the most suitable alternative. The results show that the proposed approach effectively models interaction among criteria and provides a realistic decision-support framework for equipment selection problems.
Muhammet Enes Akpınar (Mon,) studied this question.