Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/13816
Title: Hybrid fuzzy cognitive map modeller: A novel software tool for decision making
Authors: Mateou, Nicos 
Stylianou, Constantinos 
Andreou, Andreas S. 
Major Field of Science: Engineering and Technology
Field Category: Electrical Engineering - Electronic Engineering - Information Engineering
Keywords: Maps;Fuzzy rules;maps FCMs
Issue Date: 1-May-2005
Source: International Workshop on Soft Computing as Transdisciplinary Science and Technology, Muroran, Japan, 25 May 2005 through 27 May 2005
Issue: AISC
Conference: International Workshop on Soft Computing as Transdisciplinary Science and Technology 
Abstract: This paper presents the key concepts of an integrated software tool designed to contribute to the decision-making process in the field of crisis modelling and management. The tool relies on the use of Fuzzy Cognitive Maps (FCMs), which combine elements of fuzzy logic and neural networks to depict a cognitive scene of interacting concepts (nodes/levels) and their causal relationships (edges/weights). The proposed application provides the policy maker with the ability to input data from various domain experts in the form of activation levels and weight values, and to model the parameters of a certain environment. Simulations may then be performed and their results are presented and analysed for inference purposes and decision-making.
Description: Soft Computing as Transdisciplinary Science and Technology. Advances in Soft Computing, vol 29. Springer, Berlin, Heidelberg
ISBN: 978-3-540-32391-4
DOI: 10.1007/3-540-32391-0_89
Rights: © Springer Nature
Type: Conference Papers
Affiliation : Cyprus University of Technology 
Publication Type: Peer Reviewed
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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