Fuzzy Cognitive Map Reconstruction - Methodologies and Experiments
Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz
2014
Abstract
The paper is focused on fuzzy cognitive maps - abstract soft computing models, which can be applied to model complex systems with uncertainty. The authors present two distinct methodologies for fuzzy cognitive map reconstruction based on gradient learning. Both theoretical and practical issues involved in the process of a map reconstruction are discussed. Among researched and described aspects are: map sizes, data dimensionality, distortions, optimization procedure, etc. Theoretical results are supported by a series of experiments, that allow to evaluate the quality of the developed approach. The authors compare both procedures and discuss practical issues, that are entailed in the developed methodology. The goal of this study is to investigate theoretical and practical problems, that are relevant in the Fuzzy Cognitive Map reconstruction process.
DownloadPaper Citation
in Harvard Style
Homenda W., Jastrzebska A. and Pedrycz W. (2014). Fuzzy Cognitive Map Reconstruction - Methodologies and Experiments . In Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-015-4, pages 499-510. DOI: 10.5220/0004822904990510
in Bibtex Style
@conference{icaart14,
author={Wladyslaw Homenda and Agnieszka Jastrzebska and Witold Pedrycz},
title={Fuzzy Cognitive Map Reconstruction - Methodologies and Experiments},
booktitle={Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2014},
pages={499-510},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004822904990510},
isbn={978-989-758-015-4},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Fuzzy Cognitive Map Reconstruction - Methodologies and Experiments
SN - 978-989-758-015-4
AU - Homenda W.
AU - Jastrzebska A.
AU - Pedrycz W.
PY - 2014
SP - 499
EP - 510
DO - 10.5220/0004822904990510