Makran subduction zone, along the southern coasts of Iran and Pakistan, has a wide potential seismogenic zone may be capable generating large magnitude (M ~ 9) tsunamigenic earthquakes. Considering ambiguities exist in source characterization for megathrusts like Makran, where detailed geologic, seismic, geodetic data are insufficient, probabilistic tsunami hazard analysis (PTHA) is most preval...

in this paper, a Fuzzy logic based direct torque control (DTC) scheme for split phase induction motor (SPIM) is established. The induction motor has two sets of stator three-phase windings spatially shifted by 30 electrical degrees. The major disadvantage of conventional DTC is existence of high torque ripples. In this paper, we used a fuzzy logic controller to overcome this drawback. Simulatio...

Knowledge about a system contains ambiguity and vagueness. Fuzzy ontologies using rough concepts are able to deal with imprecise and vague knowledge. Several important amount of work has been carried out in the field of fuzzy ontologies during the last years and they have been successfully used in several applications, but appropriate methodology to represent fuzzy rough concepts using annotati...

Clustering is a standard approach in analysis of data and construction of separated similar groups. The most widely used robust soft clustering methods are fuzzy, rough and rough fuzzy clustering. The prominent feature of soft clustering leads to combine the rough and fuzzy sets. The Rough Fuzzy C-Means (RFCM) includes the lower and boundary estimation of rough sets, and fuzzy membership of fuz...

this paper is concerned with the development of a novel classifier for automatic mass detection of mammograms, based on contourlet feature extraction in conjunction with statistical and fuzzy classifiers. in this method, mammograms are segmented into regions of interest (roi) in order to extract features including geometrical and contourlet coefficients. the extracted features benefit from...

There is a need for modeling and reasoning on the subjective, incomplete, imprecise and vague nature of item features, user behavior and their relationships in machine learning algorithms. This paper presents results of analysis of effects of fuzzy theoretic inference/recommendation strategies and fuzzy theoretic similarity measures on a recommender system's accuracy-measured in terms of precis...