A note on reasoning conditions of Kóczy's interpolative reasoning method
✍ Scribed by Yan Shi; Masaharu Mizumoto
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 289 KB
- Volume
- 96
- Category
- Article
- ISSN
- 0165-0114
No coin nor oath required. For personal study only.
✦ Synopsis
In this note, we analyze continually the interpolative reasoning method by Krczy and Hirota, and prove that the reasoning conditions given by the authors are also necessary conditions to guarantee the fuzzy inference consequence to be of triangular type if the fuzzy rules and an observation are defined by triangular-type membership functions.
📜 SIMILAR VOLUMES
In our pre-work, the two sufficient and necessary conditions have been given on K6czy's interpolative reasoning method in sparse fuzzy rule bases, to guarantee that the reasoning consequence is of triangular-type if the fuzzy rules and an observation are defined by triangular-type membership functio
In sparse fuzzy rule bases, conventional fuzzy reasoning methods cannot reach a proper conclusion. To tackle this problem, K6czy and Hirota have proposed a method called interpolative reasoning. It has been found that by this method the convexity of the reasoning consequence fuzzy set cannot always
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