A fuzzy decision support system for garment new product development

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Conference Proceeding
Lecture Notes in Artificial Intelligence Vol 5360: AI 2008: Advances in Artificial Intelligence, 2008, pp. 532 - 543
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Garment new product development (NPD) evaluation requires considering multiple criteria under a hierarchical structure. The evaluation process often involves uncertainty and fuzziness in both the relationships between criteria and the judgments of evaluators. This study first presents a garment NPD evaluation model under a well-being concept. It then proposes a fuzzy multi-criteria group decision-making (FMCGDM) method to evaluate garment NPD. The advantages of the FMCGDM method include handling criteria in a hierarchical structure, dealing with three kinds of uncertainties simultaneously, and using suitable types of fuzzy numbers to describe linguistic terms. A fuzzy multi-criteria group decision support system (FMCGDSS) is developed to implement the proposed method. Finally a garment NPD evaluation case study demonstrates the proposed method and software system.
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