The main goal of Computing with Words is essentially a calculation allowing to automate a part of the reasoning done thanks to the natural language. Fuzzy Logic is the main tool to perform this calculation because it is be able to represent the most common kind of predicates in natural language, graded predicates, in terms of functions, and to calculate with them. However there is still not an adequate framework to perform this task, commonly referred to as commonsense reasoning. This chapter proposes a general framework to model a part of this type of reasoning. The fundamental fact of this framework is its ability to adequately represent noncontradiction, the minimum condition for considering a reasoning as valid. Initially, the characteristics of the commonsense reasoning are analyzed, and a model for the crisp case is shown. After that the more general case in which graded predicates are taken under consideration is studied.
CITATION STYLE
Trillas, E., & de Soto, A. R. (2016). Some comments on ordinary reasoning with fuzzy sets. In Studies in Fuzziness and Soft Computing (Vol. 341, pp. 87–107). Springer Verlag. https://doi.org/10.1007/978-3-319-31093-0_4
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