A Matlab toolbox for grey clustering and fuzzy comprehensive evaluation

Fuzzy Clustering and Data Analysis Toolbox For Use with Matlab

A MATLAB Toolbox and its Web based Variant for Fuzzy Cluster Analysis

Nowadays due to the yearly multiplying data comes always the need for useful methods, algorithms, that make the processing of these data easier. For the solution of this problem data mining tools come into existence, to which clustering algorithms belong. The purpose of this paper is to propose a continuously extensible, standard tool, which is useful for any MATLAB user for one’s aim. The tool...

Identiication of Mimo Systems by Inputtoutput Ts Fuzzy Models

|A number of techniques have been introduced to construct fuzzy models from measured data. Most attention has been focused on multiple-input, single-output (MISO) systems. This article concentrates on the identi cation of multiple-input, multiple-output (MIMO) systems by means of product-space fuzzy clustering with adaptive distance measure (the Gustafson-Kessel algorithm). The MIMOmodel is rep...

Water Quality Zoning of Rivers by the Technique of Fuzzy Clustering Analysis

Zoning the pollution of a river may be the first or even the most important step in water quality management. In order to resolve its pollution, fuzzy clustering analysis may be used whenever a composite classification of water quality incorporates mutiple parameters&#10 &#10In such cases, the technique may be used as a complement or an alternative to comprehensive assessment. In fuzzy cluster...

BP Neural Network Evaluation Model Combined with Grey - Fuzzy Based on Included Angle Cosine

This paper is aimed to establish a novel evaluation model. It has verified the validity of the model based on the application of thermal power project. First of all, this paper analyzed the theoretical and practical significance of thermal power project. Secondly, it built a specific evaluation system from multi-angle and multi-level. The index system is a great innovation of this article. Thir...