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A Z-Number-Based Integrated Model for Multi-Attribute Decision Making and Its Application to College Piano Teaching Quality Evaluation

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  • Lina Li

    (Suzhou University, China)

  • Jisheng Shi

    (School of Education, Huanggang Normal University, China)

Abstract

With the rapid development of music education, traditional piano teaching models in teachers' universities no longer fully meet the demands of social progress. Consequently, reforms in these approaches are necessary. The evaluation of college piano teaching quality represents a typical multi-attribute decision-making problem. Recent studies have increasingly combined methods such as TODIM and entropy to address complex evaluation tasks, with Z-numbers serving as an effective tool for representing vague and partially reliable information. This study develops a ZN-TODIM framework specifically designed to solve multi-attribute decision-making problems under Z-number conditions. A detailed numerical case study on college piano teaching quality evaluation demonstrates the framework's practical applicability and computational effectiveness, confirming its value in real educational management contexts.

Suggested Citation

  • Lina Li & Jisheng Shi, 2026. "A Z-Number-Based Integrated Model for Multi-Attribute Decision Making and Its Application to College Piano Teaching Quality Evaluation," International Journal of Decision Support System Technology (IJDSST), IGI Global Scientific Publishing, vol. 18(1), pages 1-19, January.
    • Handle: RePEc:igg:jdsst0:v:18:y:2026:i:1:p:1-19
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