원문정보
초록
영어
The unascertained clustering is a new clustering method, which combines unascertained theory and clustering theory to construct the unascertained measure, and uses the unascertained measure as set membership to indicate the membership relation between the samples with the different classes. It overcomes the disadvantage of means clustering algorithm, that a sample definitely belongs to a class, which made greater progress than -means clustering. There are complex non-linear relationship between the coal industry competitiveness and various factors. The article established the evaluation influencing factors system of coal industry international competitiveness. 6 unascertained clustering method to cluster competitiveness. It found out each class center, and gave the membership degree of the samples belong to each class, which better resolved the problem of classifying the coal industry international competitiveness.
목차
1. Introduction
2. Unascertained Clustering Algorithm
2.1. Unascertained Means Clustering
2.2. Instructiveness Acknowledge Acquisition in Means Clustering
2.3. Basic Uncertainty Membership Degree
2.4. Uncertain Means Clustering Algorithm
3. Constructing of Evaluation System for the International Competitiveness of Coal Industry
4. International Coal Industry Competitiveness Appraisal Based on Unascertained Clustering
5. Conclusions
Acknowledgement
Reference