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Authors: Panayiotis Christodoulou ; Andreas Christoforou and Andreas S. Andreou

Affiliation: Cyprus University of Technology, Cyprus

Keyword(s): Fuzzy Cognitive Maps, Prediction, Machine Learning, Support Vector Machine, Weighted k-NN, Linear Discrimination, Classification Tree

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Problem Solving

Abstract: This paper introduces a new hybrid prediction model combining Fuzzy Cognitive Maps (FCM) and Support Vector Machines (SVM) to increase accuracy. The proposed model first uses the FCM part to discover correlation patterns and interrelationships that exist between data variables and form a single latent variable. It then feeds this variable to the SVM part to improve prediction capabilities. The efficacy of the hybrid model is demonstrated through its application on two different problem domains. The experimental results show that the proposed model is better than the traditional SVM model and also outperforms other widely used supervised machine-learning techniques like Weighted k-NN, Linear Discrimination Analysis and Classification Trees.

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Paper citation in several formats:
Christodoulou, P.; Christoforou, A. and S. Andreou, A. (2017). A Hybrid Prediction Model Integrating Fuzzy Cognitive Maps with Support Vector Machines. In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-247-9; ISSN 2184-4992, SciTePress, pages 554-564. DOI: 10.5220/0006329405540564

@conference{iceis17,
author={Panayiotis Christodoulou. and Andreas Christoforou. and Andreas {S. Andreou}.},
title={A Hybrid Prediction Model Integrating Fuzzy Cognitive Maps with Support Vector Machines},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2017},
pages={554-564},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006329405540564},
isbn={978-989-758-247-9},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - A Hybrid Prediction Model Integrating Fuzzy Cognitive Maps with Support Vector Machines
SN - 978-989-758-247-9
IS - 2184-4992
AU - Christodoulou, P.
AU - Christoforou, A.
AU - S. Andreou, A.
PY - 2017
SP - 554
EP - 564
DO - 10.5220/0006329405540564
PB - SciTePress

- Science and Technology Publications, Lda.
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