Abductive reasoning and measures of similitude in the presence of fuzzy rules
✍ Scribed by Nédra Mellouli; Bernadette Bouchon-Meunier
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 249 KB
- Volume
- 137
- Category
- Article
- ISSN
- 0165-0114
No coin nor oath required. For personal study only.
✦ Synopsis
In decision-making problems, several methods exist in the literature. This paper shows how abductive reasoning can be a useful approach to deal with incomplete information. Our contribution proposes a model based on fuzzy gradual rules and fuzzy observations and operating in two steps. In the ÿrst step, we construct abductive hypotheses by using an inference method based on mathematical properties of generalized modus ponens. These hypotheses are not uniquely deÿned. This is why in the second step, we deÿne two types of criteria to construct the best ones according to the given observation. These criteria are, respectively, the similitude and the coherence, which we propose to study in detail in this paper.
📜 SIMILAR VOLUMES
In this paper, the theoretical foundation of fuzzy reasoning is analyzed, and the idea that the fuzzy transform given in the fuzzy reasoning method should be continuous with respect to a certain fuzzy distance is proposed. Also, the fuzzy transforms given in the two fuzzy reasoning methods, the Mamd
Takagi-Sugeno fuzzy models may contain redundant rules. The use of genetic algorithms for optimizing a performance index, which combines a modelling error and the number of rules in the model, allows the elimination of redundant rules and a subsequent adjustment of the weights of the rules retained