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Towards a New Fuzzy Linguistic Preference Modeling Approach for Geolocation Applications

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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 107))

Abstract

In many areas, fuzzy linguistic approaches have already shown their interest and successful results to express the preferences and the choices of a human. This paper focuses on the fuzzy linguistic 2-tuple representation model that is interesting and relevant when we need to express and to refer to linguistic assessments during the whole reasoning process. However, when data have a particular distribution on their axis, this model doesn’t fit well the needs anymore. We propose therefore a variant version of this representation model that allow for a more realistic distribution. We also show that an operation such as an arithmetic mean is easy to implement with it and gives consistent results.

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Abchir, MA., Truck, I. (2011). Towards a New Fuzzy Linguistic Preference Modeling Approach for Geolocation Applications. In: Melo-Pinto, P., Couto, P., Serôdio, C., Fodor, J., De Baets, B. (eds) Eurofuse 2011. Advances in Intelligent and Soft Computing, vol 107. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24001-0_37

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  • DOI: https://doi.org/10.1007/978-3-642-24001-0_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24000-3

  • Online ISBN: 978-3-642-24001-0

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