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A Distance Measure Between Fuzzy Variables

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Applied Computer Sciences in Engineering (WEA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 742))

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Abstract

This paper shows some distance measures based on memberships and centroids for comparing fuzzy variables which are commonly used in fuzzy logic systems and rule-based models. An application example is provided, and some interpretation issues are explained.

Juan Carlos Figueroa-García is Assistant Professor of the Universidad Distrital Francisco José de Caldas, Bogotá - Colombia.

Eduyn López-Santana is Assistant Professor of the Universidad Distrital Francisco José de Caldas, Bogotá - Colombia.

Carlos Franco-Franco is Professor of the Universidad del Rosario, Bogotá - Colombia.

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Acknowledgments

The authors would like to thank to Prof. Vladik Kreinovich from the Computer Science Dept. of The University of Texas at El Paso - USA, and Prof. Miguel Alberto Melgarejo-Rey from the Eng. Faculty of the Universidad Distrital Francisco José de Caldas - Bogotá, Colombia for their valuable comments and discussions about the topics addressed in this paper.

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Correspondence to Juan Carlos Figueroa-García .

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Figueroa-García, J.C., López-Santana, E.R., Franco-Franco, C. (2017). A Distance Measure Between Fuzzy Variables. In: Figueroa-García, J., López-Santana, E., Villa-Ramírez, J., Ferro-Escobar, R. (eds) Applied Computer Sciences in Engineering. WEA 2017. Communications in Computer and Information Science, vol 742. Springer, Cham. https://doi.org/10.1007/978-3-319-66963-2_34

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  • DOI: https://doi.org/10.1007/978-3-319-66963-2_34

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  • Online ISBN: 978-3-319-66963-2

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