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Authors: Marcelo Loor 1 and Guy De Tré 2

Affiliations: 1 Ghent University and ESPOL University, Belgium ; 2 Ghent University, Belgium

ISBN: 978-989-758-157-1

Keyword(s): Experience-Based Evaluations, Similarity Measures, Intuitionistic Fuzzy Sets.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Fuzzy Information Processing, Fusion, Text Mining ; Fuzzy Information Retrieval and Data Mining ; Fuzzy Systems ; Pattern Recognition: Fuzzy Clustering and Classifiers ; Soft Computing ; Soft Computing and Intelligent Agents

Abstract: Which similarity measures can be used to compare two Atanassov’s intuitionistic fuzzy sets (IFSs) that respectively represent two experience-based evaluation sets? To find an answer to this question, several similarity measures were tested in comparisons between pairs of IFSs that result from simulations of different experience-based evaluation processes. In such a simulation, a support vector learning algorithm was used to learn how a human editor categorizes newswire stories under a specific scenario and, then, the resulting knowledge was used to evaluate the level to which other newswire stories fit into each of the learned categories. This paper presents our findings about how each of the chosen similarity measures reflected the perceived similarity among the simulated experience-based evaluation sets.

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Paper citation in several formats:
Loor M. and De Tré G. (2015). Choosing Suitable Similarity Measures to Compare Intuitionistic Fuzzy Sets that Represent Experience-Based Evaluation Sets.In Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: FCTA, (ECTA 2015) ISBN 978-989-758-157-1, pages 57-68. DOI: 10.5220/0005600100570068

@conference{fcta15,
author={Marcelo Loor and Guy De Tré},
title={Choosing Suitable Similarity Measures to Compare Intuitionistic Fuzzy Sets that Represent Experience-Based Evaluation Sets},
booktitle={Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: FCTA, (ECTA 2015)},
year={2015},
pages={57-68},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005600100570068},
isbn={978-989-758-157-1},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: FCTA, (ECTA 2015)
TI - Choosing Suitable Similarity Measures to Compare Intuitionistic Fuzzy Sets that Represent Experience-Based Evaluation Sets
SN - 978-989-758-157-1
AU - Loor M.
AU - De Tré G.
PY - 2015
SP - 57
EP - 68
DO - 10.5220/0005600100570068

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