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논문검색

An Improved Method of Grey Clustering Based on Entropy for the Evaluation of Enterprise’s Innovation Capabilities

초록

영어

Based on Fujian industrial enterprises’ technological innovation survey, this established evaluation index system of enterprise’s innovation capabilities. Then, it presented an improved grey clustering model with entropy, and used the model to systematically evaluate the innovation capabilities of enterprises. Empirical study of Fujian enterprises’ innovation capabilities evaluation showed that the improved grey clustering method had a trait of simple, objective, easy to operating, easy to using and so on, and it was practical for assessment enterprises’s innovation capabilities in little information, small sample condition.

목차

Abstract
 1. Introduction
 2. Establishment of the Assessment Indicator System for Enterprises’ Innovation Capabilities
 3. Principle and Implementation Steps of Improved Grey Clustering Assessment Based on Entropy Technology
  3.1. Method Principle
  3.2. Implementation Step
 4. Empirical Research on the Improved Grey Clustering Assessment ofEnterprises’ Innovation Ability-- Case Study of Enterprises in Fujian,China
  4.1. Calculation of the Index Weight by Entropy Method
  4.2. Divide the Indicator Grey Class and Calculate the Whitening Clustering Coefficient
  4.3. Calculate Integrated Clustering Coefficient of the Evaluation Indexes
  4.4. Calculate the Overall Evaluation Value and Evaluate the Enterprises’ Innovation Capabilities
 5. Conclusion
 Acknowledgments
 References

저자정보

  • Jincheng Fang School of Economics and Management, Fuzhou University, Fuzhou City, Fujian Province, China,
  • Bin Zhu School of Economics and Management, Fuzhou University, Fuzhou City, Fujian Province, China, School of Transportation, Fujian University of Technology, Fuzhou City, Fujian Province, China

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