A comprehensive MAGDM-based approach using EDAS and CRITIC as an auxiliary tool for quality evaluation of ceramic product modeling design

Article type: Research Article

Authors: Wang, Yashao^{; *}

Affiliations: College of Art, Taiyuan University of Technology, Jinzhong, China

Correspondence: [*] Corresponding author. Yashao Wang, College of Art, Taiyuan University of Technology, Jinzhong, 030600, China. E-mail: [email protected].

Abstract: Ceramic art has a long history of development in China and is an important component of the inheritance and development of traditional culture. The highly distinctive ceramic art expression content has been sought after by many international research enthusiasts and applied to product design, highlighting different social backgrounds and special cultural connotations of different eras, while also laying an important theoretical foundation for the inheritance and development of culture. The quality evaluation of ceramic product modeling design could be deemed as a classic multiple attribute group decision making (MAGDM) problem. Recently, the EDAS and CRITIC method has been used to cope with MAGDM issues. Spherical fuzzy sets (SFSs) can excavate the uncertainty and fuzziness in MAGDM more effectively and deeply. In this article, on basis of evaluation based on distance from average solution (EDAS), a novel spherical fuzzy number EDAS (SFN-EDAS) method based on Hamming distance and Euclid distance is built for dealing with MAGDM. Moreover, when the attribute weights are completely unknown, the CRITIC method is extended to SFSs to acquire the attribute weights. Finally, SFN-EDAS method is used for quality evaluation of ceramic product modeling design to prove practicability of the developed method and compare SFN-EDAS method with existing methods to further demonstrate its superiority.

Keywords: Multiple attribute group decision making (MAGDM), spherical fuzzy sets, EDAS method, CRITIC method, Ceramic product modeling design

DOI: 10.3233/JIFS-234605

Journal: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 6, pp. 12049-12063, 2023