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Authors: Julio Rojas-Mora and Jaime Gil-Lafuente

Affiliation: Universitat de Barcelona, Spain

Keyword(s): Business Process Modeling, Business Ontologies.

Related Ontology Subjects/Areas/Topics: Advanced Applications of Fuzzy Logic ; Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Group Decision Support Systems ; Strategic Decision Support Systems

Abstract: In this paper we present a tool to help reduce the uncertainty presented in the decision-making process associated to the selection and hiring of a professional athlete. A weighted mean hemimetric for Φ-fuzzy subsets with trapezoidal fuzzy numbers (TrFN) as their elements, allows to compare candidates to the "ideal'' player that the technical body of a team believes should be hired.

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Paper citation in several formats:
Rojas-Mora, J. and Gil-Lafuente, J. (2009). THE SIGNING OF A PROFESSIONAL ATHLETE - Reducing Uncertainty with a Weighted Mean Hemimetric for Φ - Fuzzy Subsets. In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-8111-85-2; ISSN 2184-4992, SciTePress, pages 158-163. DOI: 10.5220/0001986101580163

@conference{iceis09,
author={Julio Rojas{-}Mora. and Jaime Gil{-}Lafuente.},
title={THE SIGNING OF A PROFESSIONAL ATHLETE - Reducing Uncertainty with a Weighted Mean Hemimetric for Φ - Fuzzy Subsets},
booktitle={Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2009},
pages={158-163},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001986101580163},
isbn={978-989-8111-85-2},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - THE SIGNING OF A PROFESSIONAL ATHLETE - Reducing Uncertainty with a Weighted Mean Hemimetric for Φ - Fuzzy Subsets
SN - 978-989-8111-85-2
IS - 2184-4992
AU - Rojas-Mora, J.
AU - Gil-Lafuente, J.
PY - 2009
SP - 158
EP - 163
DO - 10.5220/0001986101580163
PB - SciTePress

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