𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Fuzzy dynamical systems—inverse and direct spectra

✍ Scribed by Pramila Srivastava; Mona Khare; Y.K. Srivastava


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

No coin nor oath required. For personal study only.

✦ Synopsis


The present paper is concerned with the study of fuzzy dynamical systems. The notions of equivalence of F-dynamical systems, a factor of an F-dynamical system and corresponding homomorphism, inverse and direct spectra are introduced and a few propositions are proved. @


📜 SIMILAR VOLUMES


Attractors and asymptotic stability for
✍ Rodney C. Bassanezi; Laécio C. de Barros; Pedro A. Tonelli 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 876 KB

In this work we study the asymptotic properties of maps on fuzzy spaces which are extensions of maps on R". The main results are in Section 4 (see Theorem 2 1) and we give an illustrative example in the last section.

The entropy of fuzzy dynamical systems,
✍ B. Riečan; D. Markechová 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 516 KB

In this paper, some fuzzy modifications of the Kolmogorov-Sinaj entropy are studied. We introduce the general scheme which includes the mentioned entropies. Finally, the Kolmogorov-Sinaj theorem on generators is proved for special cases.

HyFIS: adaptive neuro-fuzzy inference sy
✍ J. Kim; N. Kasabov 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 616 KB

This paper proposes an adaptive neuro-fuzzy system, HyFIS (Hybrid neural Fuzzy Inference System), for building and optimising fuzzy models. The proposed model introduces the learning power of neural networks to fuzzy logic systems and provides linguistic meaning to the connectionist architectures. H

A dynamic neuro-fuzzy system configurati
✍ Xiaogang Ruan 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 453 KB

This paper describes a dynamic neuro-fuzzy system (DNFS) with the operational functions of fuzzy logic. The neurons of the DNFS correspond to the elements in a certain pattern set, and the fuzzy relation between the patterns is stored in the DNFS as a weighting matrix of the DNFS that represents the