The advantages of FCM algorithm are that it is mainly applied in point data cluster and can't directly process relational data, for which the paper proposes a clustering algorithm in data mining based on web log. Firstly, the paper improves FCM algorithm which makes it can process relational data, and makes robustness improvement on the algorithm. Then, the traditional FCM algorithm needs to de...

1 Instituto Nacional de Saúde Dr. Ricardo Jorge IP, DSA, Portugal 2 Laboratório Nacional de Engenharia Civil, Lisboa, Portugal 3 Departamento de Bioestatística e Informática, FCM UNL, CEAUL, Lisboa, Portugal 4 Centro de Investigação do Centro Hospitalar de Lisboa Central, EPE, Lisboa, Portugal 5 Serviço de Imunoalergologia, Hospital de Dona Estefânia, CHLC, EPE, Lisboa, Portugal 6 Centro de Est...

NASA’s Chandra X-ray Observatory includes a Flight Contamination Monitor (FCM), a system of 16 radioactive calibration sources mounted to the inside of the Observatory’s forward contamination cover. The purpose of the FCM is to verify the ground-to-orbit transfer of the Chandra flux scale, through comparison of data acquired during the ground calibration with those obtained in orbit, immediatel...

1 This work is partially supported by the FCT Portuguese Foundation for Science and Technology under project POSI/SRI/47188/2002, and by Fundação ORIENTE – Portuguese Orient Foundation ABSTRACT: Fuzzy Causal Rule Bases (FCRb) are widely used and are the most important rule bases in Rule Based Fuzzy Cognitive Maps (RB-FCM) [1][4][5][6]. However, FCRb are subject to several restrictions that crea...

With ever increasing application of information technologies in every day activities, organizations face the need for applications that provides better security. The existence of complex IT systems with multiple interdependencies creates great difficulties for Chief Security Officers to comprehend and be aware of all potential risks in such systems. Intelligent decision making for IT security i...

Usually, in real-world engineering problems, there are different types of uncertainties about the studied variables, which can be due to the specific variables under investigation or interaction between them. Fuzzy cognitive maps, which addresses the cause-effect relation between variables, is one of the most common models for better understanding of the problems, especially when the quantitati...

In this paper we use Fuzzy Cognitive Maps (FCMs), a wellestablished Artificial Intelligence technique that incorporates ideas from Artificial Neural Networks and Fuzzy Logic, to create a dynamic model of Turkey’s course towards its integration into the European Union, after the decision of December 18, 2004, according to which in October 3, 2005, Turkey will start negotiating its access to the ...

This paper outlines a neural network model based on the Fuzzy Cognitive Maps (FCM) framework for solving the automatic image change detection problem. Each pixel in the reference image is assumed to be a node in the network. Each node has associated a fuzzy value, which determines the magnitude of the change. Each fuzzy value is updated by a trade-off between the influences received from the fu...

This paper is on the suitability ofusing Fuzzy Cognitive Mapping technique (FCM) along with Fuzzy inference system(FIS),for the diagnosis of human disease.The diagnosis is based on the symptoms and the biochemical analysis of blood.Health care professionals use symptoms and signs as clues that can help to determine the most likely diagnosis when illness is present..Biochemistry involves in the ...

In this paper we use Fuzzy Cognitive Maps (FCMs), a wellestablished Artificial Intelligence technique that incorporates ideas from Artificial Neural Networks and Fuzzy Logic, to create a dynamic model of the Former Yugoslavian Republic of Macedonia (FYROM) Crisis in March 2001. FCMs create models as collections of concepts and the various causal relations that exist between these concepts. The ...