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

Feng Zheng; Yang Cheng Lin

doi:10.1109/ICASI.2017.7988494

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

Feng Zheng, Yang Cheng Lin

Department of Industrial Design

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the 2017 IEEE International Conference on Applied System Innovation
Subtitle of host publication	Applied System Innovation for Modern Technology, ICASI 2017
Editors	Teen-Hang Meen, Artde Donald Kin-Tak Lam, Stephen D. Prior
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	598-601
Number of pages	4
ISBN (Electronic)	9781509048977
DOIs	https://doi.org/10.1109/ICASI.2017.7988494
Publication status	Published - 2017 Jul 21
Event	2017 IEEE International Conference on Applied System Innovation, ICASI 2017 - Sapporo, Japan Duration: 2017 May 13 → 2017 May 17

Publication series

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

Other

Other	2017 IEEE International Conference on Applied System Innovation, ICASI 2017
Country/Territory	Japan
City	Sapporo
Period	17-05-13 → 17-05-17

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

Access to Document

10.1109/ICASI.2017.7988494

Cite this

Zheng, F., & Lin, Y. C. (2017). A Fuzzy TOPSIS expert system based on neural networks for new product design. In T-H. Meen, A. D. K-T. Lam, & S. D. Prior (Eds.), Proceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017 (pp. 598-601). Article 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. editor / Teen-Hang Meen ; Artde Donald Kin-Tak Lam ; Stephen D. Prior. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 598-601 (Proceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017).

@inproceedings{1c7ba506f8944ed1b89c7d447f39897d,

title = "A Fuzzy TOPSIS expert system based on neural networks for new product design",

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.",

author = "Feng Zheng and Lin, {Yang Cheng}",

note = "Funding Information: This research was supported in part by the Ministry of Science and Technology, Taiwan under Grant No s. MOST103-2221-E-259-036 and MOST105-2221-E-141-007.; 2017 IEEE International Conference on Applied System Innovation, ICASI 2017 ; Conference date: 13-05-2017 Through 17-05-2017",

year = "2017",

month = jul,

day = "21",

doi = "10.1109/ICASI.2017.7988494",

language = "English",

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

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "598--601",

editor = "Teen-Hang Meen and Lam, {Artde Donald Kin-Tak} and Prior, {Stephen D.}",

booktitle = "Proceedings of the 2017 IEEE International Conference on Applied System Innovation",

address = "United States",

}

Zheng, F & Lin, YC 2017, A Fuzzy TOPSIS expert system based on neural networks for new product design. in T-H Meen, ADK-T Lam & SD Prior (eds), 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., pp. 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. ed. / 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A Fuzzy TOPSIS expert system based on neural networks for new product design

AU - Zheng, Feng

AU - Lin, Yang Cheng

N1 - Funding Information: This research was supported in part by the Ministry of Science and Technology, Taiwan under Grant No s. MOST103-2221-E-259-036 and MOST105-2221-E-141-007.

PY - 2017/7/21

Y1 - 2017/7/21

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85028551754&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85028551754&partnerID=8YFLogxK

U2 - 10.1109/ICASI.2017.7988494

DO - 10.1109/ICASI.2017.7988494

M3 - Conference contribution

AN - SCOPUS:85028551754

T3 - Proceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017

SP - 598

EP - 601

BT - Proceedings of the 2017 IEEE International Conference on Applied System Innovation

A2 - Meen, Teen-Hang

A2 - Lam, Artde Donald Kin-Tak

A2 - Prior, Stephen D.

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE International Conference on Applied System Innovation, ICASI 2017

Y2 - 13 May 2017 through 17 May 2017

ER -

Zheng F, Lin YC. A Fuzzy TOPSIS expert system based on neural networks for new product design. In Meen T-H, Lam ADK-T, Prior SD, editors, 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). doi: 10.1109/ICASI.2017.7988494

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

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this