Fuzzy Clustering Analysis on Performance of Listed Tourism Companies
This paper, on the basis of standardized data, uses the financial data of listed tourism companies and Euclidean distance method to build a fuzzy matrix. Then it figures out the fuzzy equivalent matrix by square method, and does fuzzy clustering under certain clustering level. By this means, we achieve the category of tourism companies. In conclusion, the financial condition and management performance can be reflected, providing the investors and managers more reliable and precise information.