Applied Mathematics and Nonlinear Sciences (Jan 2024)
Research on the Construction of Intelligent Evaluation System of State-owned Asset Management Performance in Higher Vocational Colleges and Universities Based on Data-Driven Approach
Abstract
State-owned assets are an important guarantee for the daily teaching and research activities of higher vocational colleges and universities and serve an important role in ensuring the long-term development of higher vocational colleges and universities while also serving as an important task for talent cultivation and discipline development. In this paper, the construction process of the state-owned assets management performance assessment system is studied in depth, and the state-owned assets management level of higher vocational colleges and universities is analyzed by combining the hierarchical analysis method with the comprehensive fuzzy evaluation method. By constructing the index system and judgment matrix, the weights of “asset security level”, “asset management capacity”, “asset operation efficiency” and “asset management effect” are determined. The weights of “asset security level”, “asset management capacity”, “asset operation efficiency” and “asset management effect” are 0.41, 0.19, 0.18 and 0.22, respectively, and the judgment matrix satisfies the consistency test. The constructed index system is used to assess the management of state-owned assets of a higher vocational college, and the quantitative results show that its fuzzy comprehensive evaluation score is 66.6, reflecting the good level of comprehensive management of the school. The scores of specific level 1 indicators show that the school performs well in “asset management capacity” (70.08 points) but in “asset protection level” (66.72 points), “operational efficiency” (63 points) and “asset management capacity” (63 points), the school’s overall management level is good. However, there is still much room for improvement in “asset security level” (66.72 points), “operational efficiency” (63 points) and “management effectiveness” (66.32 points).
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