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A Rough Computing based Performance Evaluation Approach for Educational Institutions

초록

영어

Performance evaluation of various organizations especially educational institutions is a very important area of research and needs to be cultivated more. In this paper, we propose a performance evaluation for educational institutions using rough set on fuzzy approximation spaces with ordering rules and information entropy. In order to measure the performance of educational institutions, we construct an evaluation index system. Rough set on fuzzy approximation spaces with ordering is applied to explore the evaluation index data of each level. Furthermore, the concept of information entropy is used to determine the weighting coefficients of evaluation indexes. Also, we find the most important indexes that influence the weighting coefficients. The proposed approach is validated and shows the practical viability. Moreover, the proposed approach can be applicable to any organizations.

목차

Abstract
 1. Introduction
 2. Fundamentals of Rough Set on Fuzzy Approximation Spaces
  2.1. Almost Indiscernibility Relation
  2.2. Ordered Information System
 3. Proposed Evaluation Index System
  3.1. Determination of Weighting Coefficients
  3.2. Performance Evaluation Algorithm
 4. An Empirical Study on Performance Evaluation
  4.1. Results and Analysis
 5. Conclusion and Future Extension
 References

저자정보

  • Debi Prasanna Acharjya School of Computing Sciences and Engineering, VIT University
  • Debarati Bhattacharjee School of Computing Sciences and Engineering, VIT University

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