OBJECTIVES To demonstrate how fuzzy cognitive maps may be used to extract, present and compare Aboriginal perspectives, using the determinants of diabetes as a case study. METHODS Participants from the Mohawk Community of Akwesasne and the Miawpukek First Nation in Conne River created fuzzy cognitive maps (FCMs) (N=3) detailing their views of "the causes of diabetes in their community", throu...

Fuzzy clustering methods are conveniently employed in constructing a fuzzy model of a system, but they need to tune some parameters. In this research, FCM is chosen for fuzzy clustering. Parameters such as the number of clusters and the value of fuzzifier significantly influence the extent of generalization of the fuzzy model. These two parameters require tuning to reduce the overfitting in the...

Information Technology Infrastructure Library (ITIL) is series of best practices that helps Information technology Organizations to provide Information technology (IT) services for their customers with better performances and quality. This a rticle is looking for a way to implement ITIL in an organization and also using Fuzzy Cognitive Maps (FCM) to model the problem for better understanding of...

In order to make up some deficiencies of the fuzzy c-means clustering algorithm, a new FCM algorithm based on pretreatment of similarity relation between samples is proposed in the paper, which is utilized to estimate the fuzzy clustering centers and the weight coefficient of samples effecting on the fuzzy clustering centers during iteration process. The new FCM algorithm makes the clustering q...

the idea of this paper is designing an automatic fault detection system based on fuzzy logic, therefore two signals of pmsm in fault condition are analyzed for inter turn fault detection: current and torque. in this fault type there is some distortion in these signals, but it is not good enough to detecting with fuzzy logic solely, so with combination of wavelet transform and fcm a new method f...

There is a crucial issue in Adaptive Educational Hypermedia, concerning the machine’s ability to recognize the learner’s style and profile to the purpose of providing the learning material tailored to the learner’s specific needs. In this paper an approach to this problem is presented, based on methodologies one can find in Fuzzy Logic and Neural Networks. The so called Fuzzy Cognitive Map beco...

Fuzzy Cognitive Maps (FCMs) is an Artificial Neural Networks technique that incorporates ideas from Fuzzy Logic, to create a Decision Support System. Using this strucrure we develop a qualitative model of the relationships that exist in the field of political decisions in the case of “Great Albania”. The model that is constructed is examined statically using graph theory techniques to identify ...

Uncertain causal knowledge is stored in fuzzy cognitive maps (FCMs). FCMs are fuzzy signed digraphs with feedback. The sign (+ or ) of FCM edges indicates causal increase or causal decrease. The fuzzy degree of causality is indicated by a number in [ 1, 1]. FCMs learn by modifying their causal connections in sign and magnitude, structurally analogous to the way in which neural networks learn. A...

Researchers have observed that multistage clustering can accelerate convergence and improve clustering quality. Two-stage and two-phase fuzzy C-means (FCM) algorithms have been reported. In this paper, we demonstrate that the FCM clustering algorithm can be improved by the use of static and dynamic single-pass incremental FCM procedures. Keywords-Clustering; Fuzzy C-Means Clustering; Incrementa...

This paper presents an investigation into two fuzzy association rule mining models for enhancing prediction performance. The first model (the FCM-Apriori model) integrates Fuzzy C-Means (FCM) and the Apriori approach for road traffic performance prediction. FCM is used to define the membership functions of fuzzy sets and the Apriori approach is employed to identify the Fuzzy Association Rules (...