In this article, an effective method to control a power system during emergency conditions is presented. Based on Fuzzy Linear Programming (FLP), a new technique is developed to solve the Load Shedding and Generation Reallocation (LSGR) optimization Problem. The objective function consists of terms of load curtailments and deviations in generation schedules. The constraints are power system var...

In this article, an effective method to control a power system during emergency conditions is presented. Based on Fuzzy Linear Programming (FLP), a new technique is developed to solve the Load Shedding and Generation Reallocation (LSGR) optimization Problem. The objective function consists of terms of load curtailments and deviations in generation schedules. The constraints are power system var...

A fuzzy cognitive map is a graphical means of representing arbitrary complex models of interrelations between concepts. The purpose of this paper is to describe a dynamic/adaptive fuzzy cognitive map based on the random neural network model. Previously, we have developed a random fuzzy cognitive map and illustrated its application in the modeling of processes. The adaptive fuzzy cognitive map c...

Fuzzy classification has become very necessary because of its ability to use simple linguistically interpretable rules and has get control over the limitations of symbolic or crisp rule based classifiers. This paper mainly deals with classification on the basis of soft computing techniques Fuzzy cognitive maps and fuzzy inference system. But the data available for classification contain some mi...

Reengineering consists of conceiving the radical improvements that must be introduced into the organization of a manufacturing system so that the product managerial attributes satisfy a target market. Fuzzy cognitive maps are fuzzy signed digraphs that cannot justify their outputs because they are full of feedback loops. This paper presents an intelligent system that supports reengineering. The...

Complex systems with nonlinearities and surrounding uncertainty are usually modeled sufficiently by Fuzzy Cognitive Maps (FCMs). FCMs work efficiently even with missing data. Experts, for each case study, support with their knowledge the developed FCMs. Nevertheless, the main drawback of FCMs is their convergence to the same equilibrium point regardless of the initial conditions. In this paper ...

A retail business is a network of similar-format grocery stores with sole proprietor and well-established logistical infrastructure. The stable market, low growth, limited customer revenues, intense competition. On the system level, industry dynamic that challenging to represent due uncertainty, nonlinearity, imprecision. Due heterogeneous character systems, direct scenario modeling arduous. In...

Fuzzy cognitive maps (FCMs) are recurrent neural networks comprised of well-defined concepts and causal relations. While the literature about real-world FCM applications is prolific, studies devoted to understanding foundations behind these rather scant. In this article, we introduce several definitions theorems that unveil dynamic behavior FCM-based models equipped with transfer F-functions. T...