Municipal Creditworthiness Modelling by Clustering Methods
نویسندگان
چکیده
The paper presents the design of municipal creditworthiness parameters. Municipal creditworthiness modelling is realized by means of unsupervised methods, namely neural networks, cluster and fuzzy cluster analysis methods. Analysis of the gained results is based on clustering quality evaluation and further, on the comparison to results gained by the designed hierarchical structure of fuzzy inference system. Suitable interpretation of the created clusters is achieved this way.
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تاریخ انتشار 2007