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Article type: Research Article
Authors: Zhang, Xingfu; *
Affiliations: Anhui Technical College of Industry and Economy, Hefei, China
Correspondence: [*] Corresponding author. Xingfu Zhang, Anhui Technical College of Industry and Economy, Hefei, 230051, China. E-mail: [email protected].
Abstract: There is a huge number of small and medium-sized enterprises in China, playing an important role in the development of the market economy and being the main body of the real economy. The products and services they create account for more than half of the gross domestic product. At present, China’s economy is gradually transitioning from a stage of rapid growth to a stage of high-quality development, and it is necessary to further stimulate its innovation drive and release innovation energy. As a component of the national economy, achieving high-quality development of small and medium-sized enterprises has become one of China’s important strategic tasks. At present, the construction of the innovation service system for small and medium-sized enterprises in China is still in the initial stage, and there are still certain problems in the construction that need to be further improved. The core competitiveness evaluation of small and medium sized enterprises is a classical multiple attribute decision making (MADM) problems. Recently, the TODIM and TOPSIS method has been used to cope with MADM issues. The hesitant triangular fuzzy sets (HTFSs) are used as a tool for characterizing uncertain information during the core competitiveness evaluation of small and medium sized enterprises. In this manuscript, the hesitant triangular fuzzy TODIM-TOPSIS (HTF-TODIM-TOPSIS) method is built to solve the MADM under HTFSs. In the end, a numerical case study for core competitiveness evaluation of small and medium sized enterprises is given to validate the proposed method.
Keywords: Multiple attribute decision making (MADM), Hesitant triangular fuzzy sets (HTFSs), TODIM, TOPSIS, core competitiveness evaluation
DOI: 10.3233/JIFS-232839
Journal: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 2, pp. 3321-3331, 2023
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