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Research on the Application of Hierarchical Analysis Improved Algorithm in Professional Warning based on Weighted Average and Fuzzy Mathematics

초록

영어

This paper uses fuzzy mathematics theory, and the fuzzy comprehensive evaluation method is applied to the research on admission professional warning fuzzy comprehensive evaluation, combined with the actual situation of the professional warning and admission professional warning evaluation system will be divided into a number of indicators according to the need, establishing the factor set, evaluation set, membership function and weight set, and the comprehensive evaluation of admission professional warning level will be realized. This paper also uses hierarchical analysis method to calculate and evaluate the weight set, and improves the max-min algorithm and the maximum membership degree principle of the evaluation results, proposes a new improved algorithm, and verifies by experiment, and achieves good results. Examples show that the hierarchical analysis improved algorithm based on weighted average fuzzy math has strong operation and good effect, which can be widely used in professional warning.

목차

Abstract
 1. Introduction
 2. Evaluation Procedure
  2.1 Determine the Factor Domain of Professional Evaluation Object
  2.2 Determine the Level Domain of Professional Warning
  2.3 Establish Fuzzy Relation Matrix R
  2.4 Determine the Weight Vector of Evaluation Factors
  2.5 Compose the Fuzzy Comprehensive Evaluation Result Vector
  2.6 Analyze the Fuzzy Comprehensive Evaluation Result Vector
  2.7 Hierarchical Analysis
  2.8 The Procedure of Hierarchical Analysis
  2.9 Constructing Judgment Matrix
  2.10 Calculating Judgment Matrix
  2.11 Consistency Test
 3. The Solution of Model
  3.1 The Multilevel Fuzzy Comprehensive Evaluation Index of the Campus Environment and its Sample Data
  3.2 The Analytic Hierarchy Process of Solution to the Index Weights
 4. Comparative Study on Evaluation Methods of Early Warning of Enrollment in Colleges and Universities
 5. Conclusion
 Acknowledgement
 References

저자정보

  • Xue Ding School of Enrolment and Job-guidance Center, Yunnan Normal University, Kunming 650500, China

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