Fuzzy logic-based alternative searching for product customization

Hung Cheng Tsai, Fei Kung Hung, Shih-Wen Hsiao

研究成果: Conference contribution

摘要

Many consumers purchase multi-functional products according to their individual preferences. Consumers are normally aware of their basic needs, but often have no idea of product types, functions, usage and terminology showing important information. This research presents a method to translate customer needs into applicable alternative combinations for the products of customers' desire. In this research, the theory of the analytic hierarchy process (AHP) is utilized to evaluate the importance of customer needs, which are generally rated and described by qualitative expressions. A fuzzy inference model is employed to establish the relationship between customer needs and alternatives for a multi-functional product. Then a fuzzy synthetic distance method is used to perform optimal searching for possible alternative combinations in the product. Based on the above-mentioned methods and associated algorithms, a consultative interface is setup for a case study to demonstrate effectiveness.

原文English
主出版物標題Proceedings of the 15th IASTED International Conference on Applied Simulation and Modelling
頁面495-499
頁數5
2006
出版狀態Published - 2006
事件15th IASTED International Conference on Applied Simulation and Modelling - Rhodes, Greece
持續時間: 2006 六月 262006 六月 28

Other

Other15th IASTED International Conference on Applied Simulation and Modelling
國家/地區Greece
城市Rhodes
期間06-06-2606-06-28

All Science Journal Classification (ASJC) codes

  • 工程 (全部)

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