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

Feng Zheng, Yang Cheng Lin

研究成果: Conference contribution

2 引文 (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 七月 21
事件2017 IEEE International Conference on Applied System Innovation, ICASI 2017 - Sapporo, Japan
持續時間: 2017 五月 132017 五月 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Japan
城市Sapporo
期間17-05-1317-05-17

指紋

Expert Systems
expert systems
Product design
Expert systems
Neural networks
Fragrances
Neural Networks (Computer)
Bottles
Linguistics
products
linguistics
conjunction
bottles
Consumer Behavior

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality
  • Mechanical Engineering
  • Media Technology
  • Health Informatics
  • Instrumentation

引用此文

Zheng, F., & Lin, Y. C. (2017). A Fuzzy TOPSIS expert system based on neural networks for new product design. 於 T-H. Meen, A. D. K-T. Lam, & S. D. Prior (編輯), Proceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017 (頁 598-601). [7988494] (Proceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASI.2017.7988494
Zheng, Feng ; Lin, Yang Cheng. / A Fuzzy TOPSIS expert system based on neural networks for new product design. Proceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017. 編輯 / Teen-Hang Meen ; Artde Donald Kin-Tak Lam ; Stephen D. Prior. Institute of Electrical and Electronics Engineers Inc., 2017. 頁 598-601 (Proceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017).
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abstract = "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.",
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Zheng, F & Lin, YC 2017, A Fuzzy TOPSIS expert system based on neural networks for new product design. 於 T-H Meen, ADK-T Lam & SD Prior (編輯), Proceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017., 7988494, Proceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017, Institute of Electrical and Electronics Engineers Inc., 頁 598-601, 2017 IEEE International Conference on Applied System Innovation, ICASI 2017, Sapporo, Japan, 17-05-13. https://doi.org/10.1109/ICASI.2017.7988494

A Fuzzy TOPSIS expert system based on neural networks for new product design. / Zheng, Feng; Lin, Yang Cheng.

Proceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017. 編輯 / Teen-Hang Meen; Artde Donald Kin-Tak Lam; Stephen D. Prior. Institute of Electrical and Electronics Engineers Inc., 2017. p. 598-601 7988494 (Proceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017).

研究成果: Conference contribution

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Zheng F, Lin YC. A Fuzzy TOPSIS expert system based on neural networks for new product design. 於 Meen T-H, Lam ADK-T, Prior SD, 編輯, Proceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 598-601. 7988494. (Proceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017). https://doi.org/10.1109/ICASI.2017.7988494