2000/03/08 by Nedra Mellouli, Nédra Mellouli, Mellouli, Nedra +3
Computer Science · #Advanced Algebra and Logic #Artificial Intelligence (cs.AI) #Artificial intelligence and nonmonotonic reasoning and belief revision #FOS: Computer and information sciences #Logic, Reasoning, and Knowledge #Rough Sets and Fuzzy Logic #cs.AI
paper · pdf · doi:10.48550/arxiv.cs/0003029
7 pages and 8 files
arxiv created 2000/03/08 · openalex publication_date 2000/03/08 · arxiv updated 2009/11/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This paper proposes two kinds of fuzzy abductive inference in the framework of fuzzy rule base. The abductive inference processes described here depend on the semantic of the rule. We distinguish two classes of interpretation of a fuzzy rule, certainty generation rules and possible generation rules. In this paper we present the architecture of abductive inference in the first class of interpretation. We give two kinds of problem that we can resolve by using the proposed models of inference.