Disclaimer This document describes work undertaken as part of a programme of study at the Indian Institute of Remote Sensing and International Institute for Geo-information Science and Earth Observation. All views and opinions expressed therein remain the sole responsibility of the author, and do not necessarily represent those of the institute. Abstract Remote sensing technologies provide a un...

Department of Informatics & Computer Technology, Technological Educational Institute of Lamia, 3 Km Old National Road Lamia-Athens, 35100 Lamia, Greece [email protected] Department of Nuclear Medicine, University General Hospital of Patras, 26500 Patras, Greece, [email protected] Department of Intensive Care Unit, Lamia General Hospital, 35100 Lamia, Greece [email protected];dimitri...

In this work we address the problem of the quality assessments in the process of color images segmentation. We consider each component of a color image as a fuzzy set and therefore, we propose to use similarity measures (between fuzzy sets) to compare image segmentations. We test three segmentation algorithms, FCM [2], MAP-ML [11] and 2-TUP [21] on Berkeley segmentation database [17] and we eva...

A fuzzy cognitive map is a graphical means of representing arbitrarily complex models of interrelations between concepts. The purpose of this paper is to describe a dynamic 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 changes ...

Rule Based Fuzzy Cognitive Maps (RBFCM) are proposed as an evolution of Fuzzy Causal Maps (FCM) that allow a more complete representation of cognition, since relations other than monotonic causality are made possible. Their structure is based on traditional fuzzy systems with feedback. The main problem to solve while trying to implement a RBFCM is the causal relation itself, since traditional f...

Considering the increasingly dynamic and complex reality of the different urban policies, arose the question of whether these policies should be better designed in accordance with the causal knowledge in the respective policy area. One of the current approaches in urban policy modelling is the Fuzzy Cognitive Maps (FCM) methodology, which is capable to capture and to represent complex relations...

The development of a novel soft computing approach to model the supervisor of manufacturing systems is described, it is named Fuzzy Cognitive Maps (FCMs) and it is used to model the behaviour of complex systems. Fuzzy cognitive maps combine characteristics of both fuzzy logic and neural networks. The description and the construction of fuzzy cognitive maps are examined, a new methodology for de...

Purpose of the study . The purpose is to develop a model for predicting university performance indicators based on cognitive approach, which construction map that reflects influence set latent factors basic and provides solution problem scenario forecasting. degree achievement required values determine ranking depends magnitude increment identified factors. developed makes it possible choose mo...

events contributes to the increasing challenges in political decision making, especially the decision to strengthen bilateral economic relationships between friendly nations. Obviously this becomes one of the critical decisions. Typically, such decisions are influenced by certain factors and variables that are based on heterogeneous and vague information. A serious problem that the decision mak...

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...