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Authors: Wladyslaw Homenda 1 ; Agnieszka Jastrzebska 1 and Witold Pedrycz 2

Affiliations: 1 Warsaw University of Technology, Poland ; 2 Polish Academy of Sciences and University of Alberta, Poland

ISBN: 978-989-758-028-4

ISSN: 2184-4992

Keyword(s): Fuzzy Cognitive Maps, Fuzzy Cognitive Map Reconstruction, Granular Cognitive Maps, Granular Cognitive Map Reconstruction, Information Granules.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bioinformatics ; Biomedical Engineering ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Management ; Methodologies and Technologies ; Ontologies and the Semantic Web ; Operational Research ; Problem Solving ; Sensor Networks ; Signal Processing ; Simulation ; Society, e-Business and e-Government ; Soft Computing ; Web Information Systems and Technologies

Abstract: The objective of this paper is to present developed methodology for Granular Cognitive Map reconstruction. Granular Cognitive Maps model complex imprecise systems. With a proper adjustment of granularity parameters, a Granular Cognitive Map can represent given system with good balance between generality and specificity of the description. The authors present a methodology for Granular Cognitive Map reconstruction. The proposed approach takes advantage of granular information representation model. The objective of optimization is to readjust granularity parameters in order to increase coverage of targets by map responses. In this way we take full advantage of the granular information representation model and produce better, more accurate map, which maintains exactly the same balance between generality and specificity. Proposed methodology reconstructs Granular Cognitive Map without loosing its specificity. Presented approach is applied in a series of experiments that allow evaluating q uality of reconstructed maps. (More)

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Paper citation in several formats:
Homenda, W.; Jastrzebska, A. and Pedrycz, W. (2014). Granular Cognitive Map Reconstruction - Adjusting Granularity Parameters.In Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-028-4, ISSN 2184-4992, pages 175-184. DOI: 10.5220/0004869301750184

@conference{iceis14,
author={Wladyslaw Homenda. and Agnieszka Jastrzebska. and Witold Pedrycz.},
title={Granular Cognitive Map Reconstruction - Adjusting Granularity Parameters},
booktitle={Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2014},
pages={175-184},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004869301750184},
isbn={978-989-758-028-4},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Granular Cognitive Map Reconstruction - Adjusting Granularity Parameters
SN - 978-989-758-028-4
AU - Homenda, W.
AU - Jastrzebska, A.
AU - Pedrycz, W.
PY - 2014
SP - 175
EP - 184
DO - 10.5220/0004869301750184

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