Results 11 to 20 of about 38,544 (293)

(Quantum) Space-Time as a Statistical Geometry of Fuzzy Lumps and the Connection with Random Metric Spaces [PDF]

, 2000
We develop a kind of pregeometry consisting of a web of overlapping fuzzy lumps which interact with each other. The individual lumps are understood as certain closely entangled subgraphs (cliques) in a dynamically evolving network which, in a certain ...
Alexandroff P, Bandemer H B, Borissov R, Bronstein I N, Butterfield J, Butterfield J, Demant B, Frechet M, Hausdorff F, Isham C J, Isham C J, Isham C J, Isham C J, Isham C J, Isham C J, Isham C J, Lowen R, Markopoulou F, Markopoulou F, Menger K, Menger K, Menger K, Misner C W, Nowotny T, Nowotny T, Nowotny T, Nowotny T, Nowotny Th, Poincaré H, Requardt M, Requardt M, Requardt M, Requardt M, Requardt M, Requardt M, Rovelli C, Rovelli C, Roy S, Schweizer B, Schweizer B, Sherwood H, Smolin L, Smolin L, Sorkin R, Sorkin R, Spacek A, Stachel J, Stevens R R, Toffoli T, Wang Z   +49 more
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On PSO-Based Simulations of Fuzzy Dynamical Systems Induced by One-Dimensional Ones

Mathematics, 2021
Zadeh’s extension principle is one of the elementary tools in fuzzy set theory, and among other things, it provides a natural extension of a real-valued continuous self-map to a self-map having fuzzy sets as its arguments. The purpose of this paper is to
Jiří Kupka, Nicole Škorupová
doaj   +1 more source

Physical states in the canonical tensor model from the perspective of random tensor networks [PDF]

, 2015
Tensor models, generalization of matrix models, are studied aiming for quantum gravity in dimensions larger than two. Among them, the canonical tensor model is formulated as a totally constrained system with first-class constraints, the algebra of which ...
Narain, Gaurav, Sasakura, Naoki, Sato, Yuki   +2 more
core   +3 more sources

Stationary Points—I: One-Dimensional p-Fuzzy Dynamical Systems

Journal of Applied Mathematics, 2013
p-Fuzzy dynamical systems are variational systems whose dynamic is obtained by means of a Mamdani type fuzzy rule-based system. In this paper, we will show the 1-dimensional p-fuzzy dynamical systems and will present theorems that establish conditions of
Joao de Deus M. Silva, Jefferson Leite, Rodney C. Bassanezi, Moiseis S. Cecconello   +3 more
doaj   +1 more source

Synthesis of a Dynamical Output ${H}_{\infty}$ Controller for the Fuzzy Input-Output Model

IEEE Access, 2019
In this paper, the issue of dynamical output H∞ controller designing is addressed for the fuzzy input-output (FIO) model. The FIO model is significantly distinctive from the conventional Mamdani and T-S or T-S-K fuzzy models and can be ...
Xiuchun Luan, Xiaojun Ban
doaj   +1 more source

Mathematical control of complex systems 2013 [PDF]

, 2014
Mathematical control of complex systems have already become an ideal research area for control engineers, mathematicians, computer scientists, and biologists to understand, manage, analyze, and interpret functional information/dynamical behaviours from ...
Dong, H, He, X, Hu, J, Karimi, HR, Shen, B, Wang, Z   +5 more
core   +4 more sources

A MONOTONE FUZZY STOPPING TIME IN DYNAMIC FUZZY SYSTEMS [PDF]

Bulletin of informatics and cybernetics, 1999
Summary: This paper is concerned with a fuzzy stopping time for a dynamic fuzzy system. A new class of fuzzy stopping times, called monotone fuzzy stopping times, is introduced. The notion of monotonicity is well known and important in stochastic optimization theory.
Yoshida, Yuji, Yasuda, Masami, Nakagami, Jun-ichi, Kurano, Masami   +3 more
openaire   +2 more sources

Security SMC for Networked Fuzzy Singular Systems With Semi-Markov Switching Parameters

IEEE Access, 2022
In this paper, the issue of security sliding mode control (SMC) is addressed for networked nonlinear singular systems with semi-Markov switching parameters via the Takagi-Sugeno (T-S) fuzzy strategy.
Chunsong Han, Caiyu Lv, Kai Xie, Wenhai Qi, Jun Cheng, Kaibo Shi, Juntao Pan   +6 more
doaj   +1 more source

A hierarchical Mamdani-type fuzzy modelling approach with new training data selection and multi-objective optimisation mechanisms: A special application for the prediction of mechanical properties of alloy steels [PDF]

, 2011
In this paper, a systematic data-driven fuzzy modelling methodology is proposed, which allows to construct Mamdani fuzzy models considering both accuracy (precision) and transparency (interpretability) of fuzzy systems. The new methodology employs a fast
Alcala, Bakshi, Bezdek, Chan, Chen, Chen, Chen, Cococcioni, Cordon, De Castro, Delgado, Dieter, Dorigo, Eberhart, Gacto, Glover, Goldberg, Gomez-Skarmeta, Ishibuchi, Ishibuchi, Jain, Jang, Jin, Jin, Johansen, Kennedy, Kwong, Mahdi Mahfouf, Mamdani, Pickering, Qian Zhang, Rojas, Setnes, Setnes, Sugeno, Takagi, Wang, Wang, Wang, Wang, Yen, Yen, Yoshinari, Zadeh, Zadeh, Zadeh, Zhang, Zhang   +47 more
core   +1 more source

Dynamic Analysis of Fuzzy Systems

Applied Sciences, 2023
In this work, a new methodology for the dynamic analysis of non-linear systems is developed by applying the Mamdani fuzzy model. With this model, parameters such as settling time, peak time and overshoot will be obtained. The dynamic analysis of non-linear fuzzy systems with triangular membership functions is performed, and linguistic variables ...
Barraza Rodríguez, Manuel Alejandro, Matía Espada, Fernando, Al-Hadithi, Basil M.   +2 more
openaire   +3 more sources