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Article type: Research Article
Authors: Chai, Shaolong | Wang, Zeng; *
Affiliations: Architecture and Design College, Nanchang University, Nanchang, China
Correspondence: [*] Corresponding author. Zeng Wang, Architecture and Design College, Nanchang University, Nanchang, No. 999 Xuefu Avenue, Nanchang 330031, China. E-mail: [email protected].
Abstract: In view of the shortcomings of the existing evaluation methods in fully considering the fuzziness and randomness of product design evaluation, a novel product design evaluation method based on FAHP and cloud model is proposed. First, a hierarchical structure model of product design evaluation is established. Second, fuzzy pairwise comparison of criteria is constructed through questionnaire survey, and the digital characteristics of weight cloud model are acquired by the proposed fuzzy weight model. Then, based on the factor scores, the digital characteristics of scoring cloud model are obtained by backward cloud. Finally, the digital characteristics of comprehensive evaluation cloud model are obtained by using the proposed improved fuzzy composite operator, and the forward cloud is used to get the cloud picture for evaluation. Taking reading lamp as an example, the feasibility and effectiveness of the proposed method are verified. The results show that compared with the other two methods, the Kendall rank correlation coefficients of entropy of the method are increased by 0.17 and 0.33, respectively, which proves that the method achieves more accurate evaluation result under the complex criteria, and provides a more effective tool for decision makers and designers to evaluate and optimize design schemes.
Keywords: FAHP, cloud model, design evaluation, reading lamp
DOI: 10.3233/JIFS-213331
Journal: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 3, pp. 2463-2483, 2022
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