Abstract
An interval model for linguistic labels is proposed by introducing bipolar semantic cells for concept representation. According to this model, the degree to which each element is a positive case of a given linguistic expression is an interval value. Fundamental to our approach is that there is an uncertain border area associated with linguistic labels. This is modeled by assuming that there are two uncertain boundaries for each linguistic label, resulting in a bipolar semantic cell for concept representation. The calculus of lower and upper neighborhood functions of linguistic expressions is developed and investigated. This then provides a framework for modelliong the vague concepts in uncertain reasoning.
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Tang, Y., Lawry, J. (2011). Bipolar Semantic Cells: An Interval Model for Linguistic Labels. In: Tang, Y., Huynh, VN., Lawry, J. (eds) Integrated Uncertainty in Knowledge Modelling and Decision Making. IUKM 2011. Lecture Notes in Computer Science(), vol 7027. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24918-1_9
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DOI: https://doi.org/10.1007/978-3-642-24918-1_9
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