Abstract
In this paper, we focus our attention on the processing of the uncertainty encountered in the common sense reasoning. Firstly, we explore the uncertainty concept and then we suggest a new approach which enables a representation of the uncertainty by using linguistic values. The originality of our approach is that it allows to reason on the uncertainty interval [[Certain, Totally uncertain]] The uncertainty scale that we use here, presents some advantages over other scales in the representation and in the management of the uncertainty. The axiomatic of our approach is inspired by the Shannon theory of entropy and built on the substrate of a symbolic many-valued logic.
The first versions of this have been presented in [4, 5].
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Chachoua, M., Pacholczyk, D. (1998). Qualitative reasoning under uncertain knowledge. In: Mira, J., del Pobil, A.P., Ali, M. (eds) Methodology and Tools in Knowledge-Based Systems. IEA/AIE 1998. Lecture Notes in Computer Science, vol 1415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64582-9_768
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DOI: https://doi.org/10.1007/3-540-64582-9_768
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