In the last two decades, a number of methods have been proposed for forecasting based on fuzzy time series. Most of the fuzzy time series methods are presented for forecasting of car road accidents. However , the forecasting accuracy rates of the existing methods are not good enough. In this paper, we compared our proposed new method of fuzzy time series forecasting with existing methods. Our m...

Breast cancer is a leading cause of female mortality and its early detection is an important means of reducing this. The present study investigated an approach, based on fuzzy clustering, to detect small lesions, such as microcalcifications and other masses, that are hard to recognize in breast cancer screening. A total of 180 mammograms were analysed and classified by radiologists into three ...

Given a set S, we deene Galois connections between the lattice of fuzzy subgroups of transformations in S, the lattice of the similarities in S and the lattice of the distances in S.

This paper presents a new proposed technique to identify the coherent groups of generators using fuzzy c-means clustering algorithm (FCM). The proposed technique is based on a proposed coherency criterion introduced by using time response of the linearized power system model that reveal the relations between generators which is the integral of the square of the rotor angle difference (ISEδ) whi...

The main goal of this paper is to give an explicit formula for the number of fuzzy subgroups of a finite cyclic group. By using a similar method, some important steps in counting the number of fuzzy subgroups of a finite elementary abelian p-group are also made. © 2007 Elsevier B.V. All rights reserved. MSC: primary 20N2503E72; secondary 20K0120D30

This paper considers the generation of some interpretable fuzzy rules for assigning an amino acid sequence into the appropriate protein superfamily. Since the main objective of this classifier is the interpretability of rules, we have used the distribution of amino acids in the sequences of proteins as features. These features are the occurrence probabilities of six exchange groups in the seque...

The detection of aligned groups of objects is important for satellite image interpretation. This task can be challenging when objects have different sizes. In this paper, we propose a method for extracting aligned objects from a labeled image. In this method we construct a neighborhood graph of the objects of the image, and its dual graph where we incorporate information about the relative dire...

This paper presents a novel hybridization of the fuzzy logic, the neural network and the coevolutionary algorithm for building a fuzzy-neural system (or a Mamdani fuzzy system) from data. The novel hybridization uses the coevolution of many species, and proposes the coevolution of groups of similar species, both for the optimization of the structure of the fuzzy-neural network. In the fuzzy-neu...

In this paper, a new age-group estimation method is proposed based on fuzzy inference system. Using this method, the facial images could be classified in four groups with more accuracy for classification of marginal ages. The proposed algorithm is divided into 3 stages. At first stage, the images are preprocessed. Then, the image features are extracted using histograms of oriented gradients (HO...