Fuzzy systems are capable to model the inherent uncertainties in real world problems and implement human decision making. In this paper two issues related to fuzzy systems development are addressed and solutions are proposed and implemented. First issue is related to the high dimensional data sets. Such kinds of data sets lead to explode the search space of generated rules and results into dete...

With respect to multiple attribute group decision making problem with triangular fuzzy linguistic information, in which the attribute weights and expert weights take the form of real numbers, and the preference values take the form of triangular fuzzy linguistic variables, some operators for aggregating triangular fuzzy linguistic variables, such as the fuzzy linguistic harmonic mean (FLHM) ope...

The aim of this paper is to investigate the fuzzy number intuitionistic fuzzy multiple attribute decision making problems based on the fuzzy number intuitionistic fuzzy sets and Geometric Bonferroni mean operator. Then, we have proposed two aggregation operators: fuzzy number intuitionistic fuzzy geometric Bonferroni mean (FNIFGBM) operator and fuzzy number intuitionistic fuzzy weighted geometr...

Gender Recognition is important in different commercial and law enforcement applications. In this paper we have proposed a gender recognition system through facial images. We have used a different technique that involves Bandlet Transform instead of previously used Wavelet Transform, which is a multi-resolution technique and more efficiently provides the edges of images, and then mean is combin...

A fuzzy c-means (FCM) variant is proposed for the generation of fuzzy term sets with 2 overlap. The proposed variant di5ers from the original mainly in two areas. The 6rst modi6cation ensures that two end terms take the maximum and minimum domain values as their centers. The second modi6cation prevents the generation of non-convex fuzzy terms that often occurs with the original algorithm. The o...

The Direction of Arrival (DOA) is regarded as the best initial sorting parameter for locating enemy radar. The Direction finding (DF) systems are employed for estimating the direction of arrival of radar installation. Among all the techniques Amplitude Comparison Direction Finding (ADF) technique is the simplest. The Amplitude Comparison DF compares amplitude of the signal at multiple receivers...

This paper explores the use of fuzzy membership values generated by fuzzy c-means clustering (FCM) method to predict soil properties over space. A weighted average model was used on fuzzy membership to get soil properties. To validate the efficiency of this model, it was then compared with a multiple linear regression model between the soil property and terrain attributes. Four indices were cal...

This paper aims to introduce a scientific Semi-Supervised Fuzzy C-Mean (SSFCM) clustering approach for passenger cars classification based on the feature learning technique. The proposed method is able classify vehicles in micro, small, middle, upper large and luxury classes. performance of algorithm analyzed compared with an unsupervised fuzzy C-means (FCM) Swiss expert dataset. Experiment res...

estimation of river sediment load is one of the most important issues in design of hydraulic structures, investigating water quality, conserving fish habitat, estimating erosion and determining watershed management effects. there are two methods for estimating sediment load: empirical and hydrological methods. existence of numerous empirical methods for estimation of river sediment load and a w...