Feature Selection (FS) methods based on fuzzy-rough set theory (FRFS) have employed the dependency function to guide the FS process with much success. More recently a method has been developed which uses fuzzy-entropy [9] to perform this task. Such use of fuzzy-entropy as an evaluation measure in fuzzy-rough feature selection can result in smaller subset sizes than those obtained through FRFS a...

Spatial interpolation is an important feature of a Geographic Information System, which is the procedure used to estimate values at unknown locations within the area covered by existing observations. In this paper, we propose a conservative spatial interpolation technique that incorporates the advantages of local interpolation, Euclidean interpolation, and conservative fuzzy reasoning. The main...

many of the so-called organizational strategies on which companies are dependent, are not endurable. these strategies may not be well structured and cannot stand the test of time. thus, making the right decision is extremely important for strategic planning. the proposed strategy formulation framework in this paper (fuzzy bsq) is a powerful management tool in strategic planning that integrates ...

Due to the explosive growth of available information on the World Wide Web (WWW), users have su ered from the information overload. To alleviate this problem, there is a need for an intelligent tool to help the users screening and ltering for interesting and useful information. In this paper, a method of automatically identifying topics for Web documents via a classi cation technique is propose...

In the recent past Kernelized Fuzzy C-Means clustering technique has earned popularity especially in the machine learning community. This technique has been derived from the conventional Fuzzy C-Means clustering technique of Bezdek by defining the vector norm with the Gaussian Radial Basic Function instead of a Euclidean distance. Subsequently the fuzzy cluster centroids and the partition matri...

The Fuzzy Logic and the Fuzzy Control approach is an important Artificial Intelligence technique, which allows designing and developing “human-thinking” based, intelligent systems or applications that employ effective mathematical calculations to solve real-world based problems. At this point, the related technique is widely used by scientists, researchers and engineers in different disciplines...

The paper proposed the adaptive noise suppression technique for suppression of noise in voice communication. There are different techniques earlier used for adaptive filteration like least mean square, kalman’s filter etc.In the paper we used “fuzzy logic” technique for adaptive filteration. We know about the theory of adptive filteration of noise and application of fuzzy logic. We are using th...

This study suggests a fuzzy anisotropic smoothing technique on scalar (grayscale) images using partial differential equations (PDEs) and fuzzy sets. This technique preserves the image details such as edges while noise is being reduced. The PDE and fuzzy rule based techniques are employed in approximation of smoothing coefficients calculated based on structure and noisiness information. Utilizin...

BACKGROUND The human pathogen Helicobacter pylori (H. pylori) is a main cause for gastric inflammation and cancer. Increasing bacterial resistance against antibiotics demands for innovative strategies for therapeutic intervention. METHODOLOGY/PRINCIPAL FINDINGS We present a method for structure-based virtual screening that is based on the comprehensive prediction of ligand binding sites on a ...