Journal of Chemical and Pharmaceutical Research (ISSN : 0975-7384)

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Original Articles: 2014 Vol: 6 Issue: 6

Application of improved entropy, catastrophe progression and set pair analysis method in extracting fuzzy rules of enterprise quality management system operation effectiveness

Abstract

Evaluating enterprise quality management system operation effectiveness, mining and extracting the fuzzy rules of affecting factors of enterprise quality management system operation effectiveness are important ways to solve practical quality problems and improve quality performance. This study integrates and combines statistical analysis methods of improved entropy method, catastrophe progression method and set pair analysis methods to evaluate quality management system operation effectiveness of specific manufacturing enterprises in the form of specific practical examples and extract fuzzy rules of enterprise quality management system operation effectiveness, evaluation and operation results reveal that combinations of improved entropy method, catastrophe progression method and set pair analysis method possess feasibility and maneuverability in evaluating enterprise quality management system operation effectiveness, extracting fuzzy rules of enterprise quality management system operation effectiveness.