T-norm fuzzy logics - Wikipedia
T-norm fuzzy logics are a family of non-classical logics, informally delimited by having a semantics that takes the real unit interval [0, 1] for the system of truth values and functions called t-norms for permissible interpretations of conjunction.
IEEE Transactions on Fuzzy Systems
This journal is devoted to the theory, design and applications of fuzzy systems, ranging from hardware to software. Emphasis will be given to engineering applications.
T - Norm/ Fuzzy Intersection- An introduction - YouTube
In this video, we understand T-Norm, a fundamental concept in fuzzy logic used to combine fuzzy sets and perform logical operations. ...more. This is an introductory video on T- Norm covering...
T-Spherical Fuzzy Graphs: Operations and Applications in Various ...
Sep 19, 2019 · In the present communication, the concept of T-spherical fuzzy graph has been introduced along with the operations of product, composition, union, join and complement.
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Improved Sampled-Data Asynchronous Control for T-S Fuzzy …
Jul 8, 2024 · The sampled-data asynchronous control problem for T-S fuzzy systems is investigated in this paper. Firstly, a new fuzzy Lyapunov functional that contains the fuzzy line integral function and an improved looped functional is constructed, in which two new system state integral terms and some augmented terms are involved.
T–S Fuzzy Systems - SpringerLink
Jun 12, 2019 · T–S fuzzy systems have some special features that make them become a powerful tool for nonlinear control system designs. T–S fuzzy systems have been proven to be universal approximators that enable them to serve as function approximators in approximation-based nonlinear control designs.
Takagi–Sugeno Fuzzy Systems - Wiley Online Library
Oct 18, 2010 · The T-S systems are important because they enable a kind of control called parallel distributed control, they facilitate fuzzy identification of dynamic systems and adaptive fuzzy control, and they enable stability proofs for certain …
t-fuzzy mapping - ScienceDirect
Dec 22, 1995 · We introduce the concepts of t-fuzzy mapping, surjective t-fuzzy mapping, injective t-fuzzy mapping, t-fuzzy monomorphism, t-fuzzy epimorphism and t-fuzzy partion and we prove some of their properties.
Variable structure T–S fuzzy model and its application in
Compared with other regression methods, T–S fuzzy model has a set of linguistic interpretability of fuzzy rules, and advantage of simple structure as well as high approximation ability. Recently, the T–S fuzzy model has been successfully applied to design the …