A Fuzzy Decision Support System for Garment New Product Development

Authors:
Jie Lu;Yijun Zhu;Xianyi Zeng;Ludovic Koehl;Jun Ma;Guangquan Zhang
Affiliations:
Faculty of Engineering and Information Technology, University of Technology,Sydney (UTS), Broadway, Australia NSW 2007;Ecole Nationale Supérieure des Arts et Industries Textiles, Roubaix, France 59100;Ecole Nationale Supérieure des Arts et Industries Textiles, Roubaix, France 59100;Ecole Nationale Supérieure des Arts et Industries Textiles, Roubaix, France 59100;Faculty of Engineering and Information Technology, University of Technology,Sydney (UTS), Broadway, Australia NSW 2007;Faculty of Engineering and Information Technology, University of Technology,Sydney (UTS), Broadway, Australia NSW 2007
Venue:
AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Year:
2008

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Abstract

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.