Research on performance evaluation of university science and technology achievement transformation from the perspective of fuzzy indicators

This paper develops a comprehensive evaluation index system designed to measure the performance of scientific and technological achievements transformation in colleges and universities. Recognizing the inherent fuzziness and uncertainty in performance indicators, the study introduces a novel evaluation approach that integrates fuzzy logic with the TOPSIS decision-making method, enhanced through the IVPFOWA (Interval-Valued Pythagorean Fuzzy Ordered Weighted Averaging) operator. The IVPFOWA operator is first defined to establish the theoretical foundation for handling fuzzy attribute data. Building on this, the paper outlines the detailed steps of the TOPSIS evaluation decision process when combined with the IVPFOWA operator, demonstrating how the method can effectively address ambiguity in performance assessment. To validate the practicality and effectiveness of the proposed framework, Jiangsu University of Science and Technology is selected as a case study. The results confirm that the method provides a more reliable and adaptable tool for evaluating transformation performance under complex and uncertain conditions.