A Fuzzy TOPSIS expert system based on neural networks for new product design

Feng Zheng, Yang Cheng Lin

研究成果: Conference contribution

12 引文 斯高帕斯(Scopus)

摘要

Fuzzy TOPSIS with linguistic assessments is well suited to model the new product design process for describing the relationship between the product form and consumers' preferences, where consumers' preferences are often expressed subjectively and imprecisely. In this paper, we build a Fuzzy TOPSIS expert system in conjunction to a neural network model that can help product designers determine the optimal form combination of new product design. The fragrance bottle form design is chosen as an empirical application due to its wide variety of appearances.

原文English
主出版物標題Proceedings of the 2017 IEEE International Conference on Applied System Innovation
主出版物子標題Applied System Innovation for Modern Technology, ICASI 2017
編輯Teen-Hang Meen, Artde Donald Kin-Tak Lam, Stephen D. Prior
發行者Institute of Electrical and Electronics Engineers Inc.
頁面598-601
頁數4
ISBN(電子)9781509048977
DOIs
出版狀態Published - 2017 7月 21
事件2017 IEEE International Conference on Applied System Innovation, ICASI 2017 - Sapporo, Japan
持續時間: 2017 5月 132017 5月 17

出版系列

名字Proceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017

Other

Other2017 IEEE International Conference on Applied System Innovation, ICASI 2017
國家/地區Japan
城市Sapporo
期間17-05-1317-05-17

All Science Journal Classification (ASJC) codes

  • 電腦網路與通信
  • 電腦科學應用
  • 硬體和架構
  • 安全、風險、可靠性和品質
  • 機械工業
  • 媒體技術
  • 健康資訊學
  • 儀器

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