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A fuzzy multiple-attribute decision-making under Z-number environment for online teaching effectiveness evaluation
1College of Science and Technology, Ningbo University, Ningbo, 315300, Zhejiang, China.
Scientific Reports
|June 29, 2026
Summary
This study introduces a new Z-number-based method (ZN-LogTODIM-EDAS) to evaluate online teaching effectiveness in college database technology courses, handling uncertainty for better decision-making.
Area of Science:
- Educational Technology
- Decision Science
Background:
- Online teaching effectiveness evaluation in database technology courses presents a complex multiple-attribute decision-making (MADM) challenge.
- Existing MADM methods like logarithmic TODIM (LogTODIM) and EDAS struggle with the inherent uncertainty in assessing teaching effectiveness, such as vague feedback or ambiguous criteria.
- Z-numbers offer a robust framework for quantifying uncertainty by incorporating reliability measures alongside numerical values, making them suitable for unclear assessment data.
Purpose of the Study:
- To develop and validate an integrated Z-number-based logarithmic TODIM-EDAS (ZN-LogTODIM-EDAS) approach for evaluating online teaching effectiveness.
- To address the limitations of individual MADM methods, specifically LogTODIM's sensitivity to risk and EDAS's reliance on average values.
- To provide a more accurate and consistent method for ranking online teaching effectiveness in college database technology courses.
Main Methods:
- Quantifying uncertain online teaching effectiveness indicators using Z-numbers.
- Calculating the dominance degree of assessment objects with LogTODIM, incorporating decision-maker risk preferences.
- Evaluating alternatives using the EDAS method based on positive and negative distances from the average solution.
- Integrating Z-numbers with LogTODIM and EDAS to create the ZN-LogTODIM-EDAS approach.
Main Results:
- The ZN-LogTODIM-EDAS method successfully quantified uncertain teaching effectiveness indicators.
- A numerical example demonstrated the application of ZN-LogTODIM-EDAS for ranking online teaching effectiveness in database technology courses.
- The integrated method showed consistency and accuracy when compared to traditional techniques.
Conclusions:
- The ZN-LogTODIM-EDAS approach effectively handles uncertainty in online teaching effectiveness evaluations.
- The proposed methodology offers a reliable and accurate tool for ranking online teaching effectiveness in college database technology courses.
- The integrated approach mitigates the limitations of standalone LogTODIM and EDAS methods, enhancing decision-making accuracy.
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