Research on the teaching quality evaluation of painting majors in universities based on the 2-tuple linguistic pythagorean fuzzy sets

Abstract

The teaching of painting techniques can comprehensively cultivate students’ basic artistic abilities, mainly including various forms of techniques such as sketching, line drawing, copying, and sketching, showcasing the charm and value of art itself. From a comprehensive perspective, expressing the image in the creator’s heart in painting art and utilizing certain artistic techniques can fully highlight the core value of painting. At the same time, teachers can effectively cultivate students’ foundation in painting and help them clarify the development goals of today’s art major, thereby comprehensively cultivating students’ core artistic literacy. The teaching quality evaluation of painting majors in universities is classical multiple-attribute group decision-making (MAGDM) issues. Recently, the TODIM and TOPSIS method has been used to solve MAGDM issues. The 2-tuple linguistic Pythagorean fuzzy sets (2TLPFSs) are used as a tool for characterizing uncertain information during the teaching quality evaluation of painting majors in universities. In this manuscript, we design the 2-tuple linguistic Pythagorean fuzzy TODIM-TOPSIS (2TLPF-TODIM-TOPSIS) method to solve the MAGDM under 2TLPFNs. In the end, a numerical case study for teaching quality evaluation of painting majors in universities is given to validate the proposed method. The main research contribution of the paper is summarized: (1) the 2TLPF-TODIM-TOPSIS method is proposed for MAGDM problem with 2TLPFSs; (2) the 2TLPF-TODIM-TOPSIS method is given for teaching quality evaluation of painting majors in universities and were compared with some existing methods; (3) Through the comparison, it is found that 2TLPF-TODIM-TOPSIS method for teaching quality evaluation of painting majors in universities proposed in the study are effective.