𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Theory of T-norms and fuzzy inference methods

✍ Scribed by M.M. Gupta; J. Qi


Publisher
Elsevier Science
Year
1991
Tongue
English
Weight
572 KB
Volume
40
Category
Article
ISSN
0165-0114

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Fuzzy sets and t-norms in the light of f
✍ VilΓ©m NovΓ‘k; Witold Pedrycz πŸ“‚ Article πŸ“… 1988 πŸ› Elsevier Science βš– 752 KB

The paper is a discussion of the many-valued fuzzy logic, which is syntacticosemantically complete and its impact on the fuzzy set theory, namely on the operations with fuzzy sets. Arguments that all the operations with membership grades must fulfil the so called fitting condition are given. It foll

General theory on fuzzy subgroupoids wit
✍ Jiang Hao πŸ“‚ Article πŸ“… 2001 πŸ› Elsevier Science 🌐 English βš– 108 KB

In this paper we develop a general theory on fuzzy subgroupoids with respect to a t-norm T which includes many known concepts and results as its special cases. Particular attention is paid to the fuzzy subgroupoids induced by a probability space. The associative law and the existence of inverse elem

t-Norm-based addition of fuzzy intervals
✍ RΓ³bert FullΓ©r; Tibor Keresztfalvi πŸ“‚ Article πŸ“… 1992 πŸ› Elsevier Science 🌐 English βš– 258 KB
Addition of fuzzy numbers based on gener
✍ Xiu-Gang Shang; Wei-Sun Jiang πŸ“‚ Article πŸ“… 1998 πŸ› Elsevier Science 🌐 English βš– 267 KB

The addition rules of fuzzy numbers based on the generalized t-norms are given, which generalized the "min"-normbased addition rule of fuzzy numbers. The results are also extended to fuzzy intervals, Its possible applications are pointed.

On probabilistic methods in fuzzy theory
✍ Hung T. Nguyen; Tonghui Wang; Berlin Wu πŸ“‚ Article πŸ“… 2004 πŸ› John Wiley and Sons 🌐 English βš– 116 KB

This lecture is mainly a survey of useful probabilistic methods in the theoretical analysis of fuzzy theory for modeling and design of intelligent systems. The probabilistic methods also are useful for fusing domain knowledge with numerical data in the field of intelligent data analysis.

Variable weighted synthesis inference me
✍ Yu-Zhuo Zhang; Hong-Xing Li πŸ“‚ Article πŸ“… 2006 πŸ› Elsevier Science 🌐 English βš– 953 KB

new fuzzy inference method, called a VWSI (variable weighted synthesis inference) method, is presented by applying the principle of variable weighted synthesis in factor spaces theory to fuzzy inference. The analysis for response abilities of fuzzy systems constructed by VWSI algorithms indicates th