Add to ORKGThe paper deals with the method of extracting fuzzy classification rules based a heuristic method of possibilistic clustering. The description of basic concepts of the direct possibilistic clustering algorithm based on the concept of allotment among fuzzy cluster is provided. A general plan of the clustering procedure is given. A method of constructing of fuzzy rules based on clustering results is proposed. An illustrative example of the method’s application to the Anderson’s Iris data is carried out. An analysis of the experimental results is given and preliminary conclusions are formulated
Abstract. This paper deals in a preliminary way with the problem of clustering of three-way data. A ...
The paper deals with the problem of constructing Gaussian membership functions of fuzzy sets for fuz...
The paper deals with the problem of constructing Gaussian membership functions of fuzzy sets for fuz...
The paper deals with the method of extracting fuzzy classification rules based a heuristic method of...
The paper deals with the problem of the fuzzy data clustering. In other words, objects attributes ca...
The paper deals with the problem of the fuzzy data clustering. In other words, objects attributes ca...
The problem of computational efforts of a heuristic method of possibilistic clustering based on the...
The problem of computational efforts of a heuristic method of possibilistic clustering based on the...
The present book outlines a new approach to possibilistic clustering in which the sought clustering ...
This paper deals with a new method of fuzzy clustering. The basic concepts of the method are introdu...
The paper deals with the problem of the fuzzy data clustering. In other words, objects attributes ca...
This paper presents a possibilistic fuzzy clustering algorithm that is applied to a multidimensional...
Fuzzy clustering is an approach using the fuzzy set theory as a tool for data grouping, which has ad...
Fuzzy clustering is an approach using the fuzzy set theory as a tool for data grouping, which has ad...
Fuzzy clustering is an approach using the fuzzy set theory as a tool for data grouping, which has ad...
Abstract. This paper deals in a preliminary way with the problem of clustering of three-way data. A ...
The paper deals with the problem of constructing Gaussian membership functions of fuzzy sets for fuz...
The paper deals with the problem of constructing Gaussian membership functions of fuzzy sets for fuz...
The paper deals with the method of extracting fuzzy classification rules based a heuristic method of...
The paper deals with the problem of the fuzzy data clustering. In other words, objects attributes ca...
The paper deals with the problem of the fuzzy data clustering. In other words, objects attributes ca...
The problem of computational efforts of a heuristic method of possibilistic clustering based on the...
The problem of computational efforts of a heuristic method of possibilistic clustering based on the...
The present book outlines a new approach to possibilistic clustering in which the sought clustering ...
This paper deals with a new method of fuzzy clustering. The basic concepts of the method are introdu...
The paper deals with the problem of the fuzzy data clustering. In other words, objects attributes ca...
This paper presents a possibilistic fuzzy clustering algorithm that is applied to a multidimensional...
Fuzzy clustering is an approach using the fuzzy set theory as a tool for data grouping, which has ad...
Fuzzy clustering is an approach using the fuzzy set theory as a tool for data grouping, which has ad...
Fuzzy clustering is an approach using the fuzzy set theory as a tool for data grouping, which has ad...
Abstract. This paper deals in a preliminary way with the problem of clustering of three-way data. A ...
The paper deals with the problem of constructing Gaussian membership functions of fuzzy sets for fuz...
The paper deals with the problem of constructing Gaussian membership functions of fuzzy sets for fuz...