We develop an effective nonhierarchical data clustering method using an analogy to the dynamic coarse graining of a stochastic system. Analyzing the eigensystem of an interitem transition matrix identifies fuzzy clusters corresponding to the metastable macroscopic states (macrostates) of a diffusive system. A "minimum uncertainty criterion" determines the linear transformation from eigenvectors...

This paper shows a strategy suitable for navigating autonomous robots in a completely unknown environment. The method proposed combines optimum path planning techniques with fuzzy logic to avoid obstacles and to determine the shortest path towards its goal. The technique computes the potential surface using Dijkstra’s algorithm in a moving window, updating the cost map as it moves with the info...

This paper presents a comparison between two unsupervised neural network models: (i) the well-known Fuzzy ART, and (ii) AUTOWISARD, a new unsupervised version of the classic WISARD weightless neural network model. It is shown that AUTOWISARD is simple, fast and stable, whilst keeping compatibility with the original WISARD architecture. Experimental test results over binary patterns benchmarks h...

This paper presents an improved method for image thresholding by optimization of fuzzy compactness which was originally introduced by Pal and Rosenfeld 3]. In our method a set of asymmetric S-functions whose windows are located in the same range are used as membership functions for obtaining fuzzy compact-ness. This avoids the problem which may occur in the original algorithm by unsuitably choo...

This paper presents a simple, but computationally efficient approach for fingerprint recognition. In this proposed approach fingerprint image is divided into windows of size 3  3 to extract the fuzzy features. The information at the center of the window is the product of information extracted using Local Binary Pattern (LBP) and fuzzy membership function. Maximization of mutual information bet...

Combinational Neuro-Fuzzy (NF) logic is the mixed technique generated by the combination of artificial neural network and fuzzy-logic. Various methods are proposed in the literature to restore the image degraded by impulse noise using soft computing technique where all methods have their own advantages and disadvantages. A novel idea is proposed in this paper where the ANFIS is used to detect t...