Fuzzy Cognitive Maps were initially proposed by Kosko [1–3], as an extension of cognitive maps proposed by Axelrod [4]. FCM is a graph used for representing causal relationships among concepts that stand for the states and variables of the system, emulating the cognitive knowledge of experts on a specific area. FCM can be interpreted as a combination of Fuzzy Logic and Neural Networks, because ...

One simple type of connectionist system, the Fuzzy Cognitive Map (FCM), produces patterns of dynamical output with three important structural properties and capabilities: symmetry, objective relational levels, and the automatic inference of novel logical categories. Together, these emergent properties also reveal a connectionist system that, when cast in the role of a learning agent, has the po...

This paper proposes using a stratified fuzzy cognitive map (FCM) to amplify inference results of Web mining As a dramatic usage of the Internet for a wide variety of daily management activities, Web mining becomes one of the intelligent techniques to provide robust decision support. However, conventional Web mining approaches have failed to offer enriched inference results due to the lack of un...

This work investigates the process of yield prediction in cotton crop production using the soft computing technique of fuzzy cognitive maps. Fuzzy cognitive map (FCM) is a fusion of fuzzy logic and cognitive map theories, and is used formodeling and representing experts’ knowledge. It is capable of dealingwith situations including uncertain descriptions using similar procedure such as human rea...

In this paper we propose the use of Fuzzy Cognitive Map (FCM) models for decision making through simulations. FCMs create models as collections of concepts and the various causal relations that exist between these concepts. The concepts are represented by nodes and the causal relationships by directed arcs between the nodes. Each arc is accompanied by a weight that defines the type of causal re...

In this paper, we compare the inference capabilities of three different types of fuzzy cognitive maps (FCMs). A fuzzy cognitive map is a recurrent artificial neural network that creates models as collections of concepts/neurons and the various causal relations that exist between these concepts/neurons. In the paper, a variety of industry/engineering FCM applications is presented. The three diff...

Fuzzy Cognitive Maps as a Technique for Conducting Structured Systems Analysis in the Area of Security Sciences The article aims to present and introduce main assumptions procedures creating fuzzy cognitive maps (FCM) field security studies. FCM are tool conducting systematic analysis phenomena with complex structure consisting many interrelated elements. text was divided into three parts devot...

This paper introduces the reference theory and algorithm of text categorization by using fuzzy cognitive map(FCM), which is based on value inference and can be able to infer by combing rule and statistics. This method is flexible and robust, and we do not need train the corpus time after time,it is suitable to the text categorization of insufficiency training, new subject and multiclassification.

The institute of medicine has long recognized Problems with health care quality and for more than a decade has advocated using health information technology to improve quality. The fuzzy cognitive map has gradually emerged as a concrete paradigm for knowledge representations, and simulation conditions are applicable, to numerous research and application field. However we have proposed efficient...

We propose a novel method F2C that can process the only information available in the early stages of a young high-technology venture: linguistic expert knowledge. This knowledge is the basis for the determination of an appropriate discount rate for the valuation of high-technology ventures in early stages of venture capital investments. A specific tool named Fuzzy Cognitive Map (FCM) is used th...