--Thresholding, the problem of pixel classification is attempted here using fuzzy clustering algorithms. The segmented regions are fuzzy subsets, with soft partitions characterizing the region boundaries. The validity of the assumptions and thresholding schemes are investigated in the presence of distinct region proportions. The hard k means and fuzzy c means algorithms have been found useful w...

In this paper we consider the problem of the evaluation of system reliability, in which the lifetimes of components are described using a fuzzy exponential distribution. Formula of a fuzzy reliability function and its α-cut set are presented. The fuzzy reliability of structures is defined on the basis of fuzzy number. Furthermore, the fuzzy reliability functions of k -out-ofm system, series sys...

Image segmentation is the first step in image analysis and pattern recognition. Image segmentation is the process of dividing an image into different regions such that each region is homogeneous. The accurate and effective algorithm for segmenting image is very useful in many fields, especially in medical image. This paper presents a new approach for image segmentation by applying k-means algor...

Rigorous analysis of the determinants of volumetric mass transfer coefficient (kLa) and its accurate forecasting are of vital importance for effectively designing and operating stirred reactors. Majority of the available literature is limited to systems with low solids concentration, while there has always been a need to investigate the gas-liquid hydrodynamics in tanks handling ...

Article history: Received 5 July 2009 Received in revised form 5 May 2010 Accepted 24 May 2010 Available online 4 June 2010 This paper proposes a new kind of data weighted fuzzy c-means clustering approach. Different from most existing fuzzy clustering approaches, the data weighted clustering approach considers the internal connectivity of all data points. An exponent impact factors vector and ...

This is the pre-peer reviewed version of the article: Mohanty J R, Verma B B, Ray P K, Parhi D R K, Prediction of mode-I overload-induced fatigue crack growth rates using neuro-fuzzy approach, Expert Systems with Applications, 37(2010), 3075-3087, which has been published in the final form at http://www.sciencedirect.com/science/journal/09574174 Prediction of mode-I overload-induced fatigue cra...

We present a novel method for face gender classification problem. This method employs the powerful Active Appearance Model (AAM) method for modeling human faces and extracting feature vectors, and the simple but powerful Fuzzy k-Nearest Neighbors (Fuzzy k-NN) method for classification. Experiments for the proposed approach have been conducted on FERET data set and the results show that the prop...

We deepen the study of two known neighborhood structures, which here will be called f · k-neighborhood structures and f · q-neighborhood structures, in the context of Šostak fuzzy topological spaces. In particular, we characterize fuzzy topologies by f · k-neighborhood structures. Moreover we introduce and discuss the notions of f · kneighborhood prestructure and f ·m-neighborhood structure in ...

In this paper, we discuss various k-g inverses associated with a k-regular Interval-Valued Fuzzy Matrix. We obtain some characterization of the set of all k-g inverses.