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
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