This paper is based on the development of fuzzy Logic based edge detection techniques in digital images. The proposed technique used Sobel operator, Zernike moment operator, and Fuzzy inference system in combination for edge detection purpose. Edge is a boundary between two homogeneous regions. Edge detection refers to the process of identifying and locating sharp discontinuities in an image. I...

In this paper various relationships between anti fuzzy ideals of a Γ-semigroup and that of its operator semigroups have been obtained. An inclusion preserving bijection between the set of all anti fuzzy ideals of a Γ-semigroup(not necessarily with unities) and that of its operator semigroups has been obtained. Mathematics Subject Classification: 20M99, 20N25

Landslides are one kind of slopes processes have been take place in some area at worldwide and Iran every year, and they are associated with damaged, many people are harmed and losses their properties. The aim of this research landslide hazard assessment in central zab basin in the southwest mountainsides of West-Azerbaijan province, Iran by using information layers and effective factors in lan...

In this paper we present two new types aggregation operators such as, induced Pythagorean fuzzy ordered weighted averaging aggregation operator and induced Pythagorean fuzzy hybrid averaging aggregation operator. We also discuss of important properties of these proposed operators and construct some examples to develop these operators.

A novel scheme for developing, at low computational cost, neural-fuzzy classifiers based on large-scale, model-based exemplars is outlined. The new method extends the approach that Bezdek applied to train a neural net (NN) Sobel edge classifier by training the NN on the complete population of 3x3 binary image prototypes scored to fuzzy values by a classical operator. We first show that, replaci...

When the standard genetic algorithm is used to solve the fuzzy programming problem, poor convergence occurs. In order to overcome this defect, this paper presents a hybrid intelligent evolutionary algorithm based on nonlinear support vector machine (SVM) to solve the fuzzy programming problem. Firstly, based on the research of genetic algorithm, evolutionary strategy and genetic algorithm are c...

In this paper, we investigate the multiple criteria group decision making (MCGDM) problems in which decision makers (DMs)’ preferences on alternatives (criteria) are depicted by triangular fuzzy numbers and take the form of incomplete reciprocal comparison matrices. We aim to develop integrated methodologies for the MCGDM problems. First of all, we develop a triangular fuzzy power geometric (TF...

Supplier selection problem is a multi-criteria decision making problem which includes both qualitative and quantitative factors. In the selection process many criteria may conflict with each other, therefore decision-making process becomes complicated. In this paper, we propose a compensatory fuzzy approach to solve multi-objective linear supplier selection problemwith multiple-item (MLSSP-MI) ...

Abstract: The subtraction operation of intuitionistic fuzzy sets (IFSs) has been scarcely used for practical applications since it was introduced. Therefore, it is necessary to propose an aggregation operator based on the subtraction operation of IFSs for engineering applications. Then, clay-brick selection is an important decision-making problem for better building construction. To handle the ...

-A Fuzzy Adaptive Resonance Theory (ART) model capable of rapid stable learning of recognition categories in response to arbitrary sequences of analog or binary input patterns is described. Fuzzy ART incorporates computations from fuzzy set theory into the ART 1 neural network, which learns to categorize only binary input patterns. The generalization to learning both analog and binary input pat...