Application of fuzzy clustering in financial analysis of logistic companies

As an important mathematic tool, fuzzy clustering is applied broadly in many aspects. It has been receiving great attention from enterprisers and scholars. This paper makes use of this approach to cluster the logistic companies based on some general financial indexes, such as ratio of gross margin, current ratio and net cash flow per share. By constructing and normalizing initial partition matrix, getting fuzzy similar matrix by means of Minkowski metric, and gaining the transitive closure, the dynamic fuzzy clustering analysis for logistic companies is shown clearly that different clustered result change gradually with the threshold λ reducing. It has a big value on contrasting logistic companies' financial condition in order to grasp the chance of investment and so on.