𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Mathematical analysis of interval-valued fuzzy relations: Application to approximate reasoning

✍ Scribed by H. Bustince; P. Burillo


Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
131 KB
Volume
113
Category
Article
ISSN
0165-0114

No coin nor oath required. For personal study only.

✦ Synopsis


In this paper, interval-valued fuzzy relations between sets X and Y are introduced as fuzzy subsets of the cartesian product X Γ— Y , and t-norms and t-conorms are chosen in such a way that as many properties of relations in 2-valued logic are preserved. Besides, we will see that if we require certain reasonable properties, including distributivity, then we end up with the only possible choice: min and max. Finally, as an example, a method of inference in approximate reasoning for the one-dimensional case based on interval-valued fuzzy sets is considered and discussed using the idea of interval-valued fuzzy relations.


πŸ“œ SIMILAR VOLUMES


A method of inference in approximate rea
✍ Marian B. GorzaΕ‚czany πŸ“‚ Article πŸ“… 1987 πŸ› Elsevier Science 🌐 English βš– 773 KB

This paper introduces and discusses a method of approximate inference which operates on the extension of the concept of a fuzzy set by the concept of an interval-valued fuzzy set. This method allows a formal, fuzzy representation to be built for verbal decision algorithms. Furthermore, it can have a

Approximation theorem of the fuzzy trans
✍ Min Liu; Degang Chen; Cheng Wu; Hongxing Li πŸ“‚ Article πŸ“… 2006 πŸ› Elsevier Science 🌐 English βš– 714 KB

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