Abstract
Fuzzy reasoning can provide techniques both for representing and managing the imprecision in commonsense reasoning. But, like human reasoning, it conduces to inconsistencies (inherent to the imprecise or incomplete knowledge) that might be solved in the frame of fuzzy logic, simulating human behavior. In this paper we analyze this kind of conflicts and propose a non-monotonic fuzzy logic in order to solve it. Moreover, we show that many (non-monotonic) human reasoning patterns can be modeled by means of this “non-monotonic fuzzy reasoning”.
Published Version
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