loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Theodore L. Kottas 1 ; Yiannis S. Boutalis 1 and Manolis A. Christodoulou 2

Affiliations: 1 Democritus University of Thrace, Greece ; 2 Technical University of Crete, Greece

ISBN: 972-8865-29-5

Keyword(s): Fuzzy Cognitive Maps, Hebbian rule, State feedback, Weight Updating.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Decision Support Systems ; Fuzzy Control ; Fuzzy Systems ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Machine Learning in Control Applications ; Soft Computing

Abstract: Fuzzy Cognitive Maps (FCMs) have found many applications in social -financial -political problems. In this paper we propose a method of FCM operation, which can be used to represent and control any real system, including traditional electro-mechanical systems. In the proposed approach the FCM reaches its equilibrium point using direct feedback from the node values of the real system and the limitations imposed by the control objectives for the node values of the system. The experts’ knowledge, which is represented in the weights of the nodes’ interconnections, undergoes a continuous on-line adaptation based on feedback from the real system. An algorithm for weight updating is proposed, which is based on system feedback and which includes specially designed matrices that lead the FCM and consequently the real system associated with it in a balanced equilibrium state. The proposed methodology is tested by simulating the operation of a hydro-electric plant.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.204.48.40

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
L. Kottas T.; S. Boutalis Y.; A. Christodoulou M. and (2005). A NEW METHOD FOR WEIGHT UPDATING IN FUZZY COGNITIVE MAPS USING SYSTEM FEEDBACK.In Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 972-8865-29-5, pages 202-209. DOI: 10.5220/0001163502020209

@conference{icinco05,
author={Theodore {L. Kottas} and Yiannis {S. Boutalis} and Manolis {A. Christodoulou}},
title={A NEW METHOD FOR WEIGHT UPDATING IN FUZZY COGNITIVE MAPS USING SYSTEM FEEDBACK},
booktitle={Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2005},
pages={202-209},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001163502020209},
isbn={972-8865-29-5},
}

TY - CONF

JO - Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - A NEW METHOD FOR WEIGHT UPDATING IN FUZZY COGNITIVE MAPS USING SYSTEM FEEDBACK
SN - 972-8865-29-5
AU - L. Kottas, T.
AU - S. Boutalis, Y.
AU - A. Christodoulou, M.
PY - 2005
SP - 202
EP - 209
DO - 10.5220/0001163502020209

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.