A fuzzy version of default logic
Kumar S. Ray, Arpan Chakraborty · International Journal of Intelligent Computing and Cybernetics · 2011
Purpose The importance of fuzzy logic (FL) in approximate reasoning, and that of default logic (DL) in reasoning with incomplete information, is well established. Also, the need for a commonsense reasoning framework that handles both these aspects has been widely anticipated. The purpose of this paper is to show that fuzzyfied default logic (FDL) is an attempt at creating such a framework. Design/methodology/approach The basic syntax, semantics, unique characteristics and examples of its complex reasoning abilities have been presented in this paper. Findings Interestingly, FDL turns out to be a generalization of traditional DL, with even better support for non‐monotonic reasoning. Originality/value The paper presents a generalized tool for commonsense reasoning which can be used for inference under incomplete information.