4. Research methodology
4.1 DEMATEL methodology
4.1.1. Research method selection
This study introduces the fuzzy DEMATEL model to determine the importance of each index of supply chain data governance optimization by expert scoring method. We apply fuzzy set theory for initial data processing to reduce the range limitation of data results, and improve the independence of index weights based on the improvement of the data calculation model of direct influence matrix sources. The above operations can enhance the results of subsequent key index screening and hierarchical analysis studies reliability.
4.1.2. Initial weight determination
In order to determine the initial weights of supply chain data governance and construct the original DEMATEL data, this study designed the index importance scoring table for supply chain data governance optimization. 8 experts were contacted for their opinions to determine the importance of the indexes. The experts who participated in the questionnaire survey covered academic professors, industrial Internet industry operators and department heads of supply chain enterprises who studied related topics. At the same time, senior users were invited to participate in the scoring. The questionnaire was distributed and collected online.
The study uses triangular fuzzy numbers in fuzzy mathematics to reflect the results of experts’ judgments on the importance of indexes, which are easier to obtain ideal solutions from group decisions than traditional methods. The triangular fuzzy numbers refer to the fuzzy numbers on the set of real numbers with the affiliation function of fuzzy numbers. Denote the triangular fuzzy number as, where and denote the upper and lower limits of the fuzzy value, respectively, and is the approximation of the fuzzy value.