Research on Evaluation and Decision-Making Model of Product Design Scheme Based on TFN-AHP-GRA

Article Preview

Abstract:

In view of (Considering)the fuzziness of attribute information in process of scheme design for electromechanical product emphasizing both form and function, the construction methods of evaluation index during evaluation and decision-making on the scheme is studied, the construction methods of evaluation index system based on technology, aesthetics, economy and society is proposed, and the comprehensive evaluation and decision-making model of product design scheme that integrates Analytical Hierarchy Process(AHP), Triangular Fuzzy Numbers(TFN),and Gray Relating Analyze (GRA) is established. With evaluating and decision-making on three electric hair dryer cases, the effectiveness of the model and method is demonstrated indirectly by the contrast between the result and the share of sales of three electric hair dryers on the market.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 201-203)

Pages:

1170-1176

Citation:

Online since:

February 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Vikas K, Shyam S T: Fuzzy application to the analytic hierarchy process for robot selection. Fuzzy Optimization and Decision Making. Vol. 4, no. 3 (2005), pp.209-234.

DOI: 10.1007/s10700-005-1890-3

Google Scholar

[2] Zhu K J, Yu J A: Discussion on extent analysis method and application of fuzzy AHP. European Joumal of Operational Research, Vol. 116 (1999), pp.450-456.

DOI: 10.1016/s0377-2217(98)00331-2

Google Scholar

[3] Peng Anhua, Yang Ganggang: Application of AHP based on two-level fuzzy synthesis judgments in mechanism selection. Journal of Engineering Design, Vol. 14, no. 4 (2007), pp.278-281, In Chinese.

Google Scholar

[4] Xiong Hong, Wang Xiaoping, Yue Wande: Design and implementation of industrial design comprehensive evaluation system for electromechanical products. Journal of Central South University of Technology (Natural Science), Vol. 36, no. 4 (2005).

Google Scholar

[5] Zeng Renren, Zheng Zhilong: A Study on Determining the Model of Evaluation Indexes and Weight Value of Essential Factors of Industry Design by Applying the AHP Method. Journal of Engineering Graphics. No. 2 (2000), pp.96-100, In Chinese.

Google Scholar

[6] Wen Bangchun, Liu Shuying, Li Xiaopeng: Main and auxiliary functions of product and function optimal design. BengJing: Chins Machine Press, (2008), In Chinese.

Google Scholar

[7] Liu Xiaoxu, WuPeng: Reasearch on comprehensive selection of mechanical product design scheme based on gray theory. Journal of Sichuan University of Science & Engineering. Vol. 23, no. 1 (2010), pp.113-115, In Chinese.

Google Scholar

[8] Song Jiupeng, Dong Dawei : GAO Guoan . A Decision Model for Product Scheme Evaluation Based on AHP and Degree of Gray Incidence. Journal of Southwest Jiaotong University. Vol. 37, no. 4 (2002), pp.463-466. In Chinese.

Google Scholar

[9] Jian Zhaoquan: Industry design methodology. Bei Jing: Beijing institude of technology press, (2000), In Chinese.

Google Scholar

[10] Zhong Xiaoqiang, Dong Yu, Teng Weibing: Robot design selection based on TNF-AHP comprehensive evaluation model. Journal of Harbin Institute of Technology. Vol. 41, no. 9 (2009), pp.128-131. In Chinese.

Google Scholar