Results 231 to 240 of about 517,059 (294)

Enhanced power management in PV-Integrated hybrid energy storage systems using fuzzy 2DOF-PI control optimized by hippopotamus algorithm. [PDF]

Sci Rep
Kotb H, Khairalla AG, ElRefaie HB, AboRas KM.   +3 more
europepmc   +1 more source

Generalized FitzHugh-Nagumo equations with Caputo gH-differentiability: A novel fuzzy fractional approach to digital memristor networks. [PDF]

PLoS One
Yousuf M, Ahmad U, Muhammad G, Alsulami H.   +3 more
europepmc   +1 more source

Multi-Response Optimisation of Thermal Barrier Coating Performance Based on Grey-Based Fuzzy Approach. [PDF]

Materials (Basel)
Zou Z, Jean M.
europepmc   +1 more source

An intelligent computational framework combining neural networks with complex Pythagorean fuzzy FUCA for airspace capacity evaluation and traffic forecasting. [PDF]

Sci Rep
Huo D, Zhang S.
europepmc   +1 more source

Enhancing strategic basketball decisions using a bipolar complex fuzzy multi criteria group decision making framework. [PDF]

Sci Rep
Yao J, Wang X, Wei Q, Cheng Y.
europepmc   +1 more source

Vision-Controlled autonomous navigation in unstructured environments: Integrating image processing, path planning, and trajectory control in robotic systems. [PDF]

PLoS One
Wang P, Yu H, Wang S.
europepmc   +1 more source

Fuzzy System and Fuzzy Modeling

JOURNAL OF THE BREWING SOCIETY OF JAPAN, 1991
openaire   +2 more sources

FORECASTING IN FUZZY SYSTEMS [PDF]

International Journal of Information Technology & Decision Making, 2011
Fuzzy regression has been applied to marketing, management, and sales forecasting for many years. In this paper, two types of forecasting methods within the framework of fuzzy regression analysis are discussed. The first type is a conventional forecasting method, which intends to find the value of a dependent variable when the given values of ...
HSIAO-FAN WANG, RUEY-CHYN TSAUR
openaire   +2 more sources

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Fuzzy systems and approximation

Fuzzy Sets and Systems, 1997
Abstract The basic motivation of using fuzzy rule-based systems especially for control purposes is to deduce simple and fast approximations of the unknown or too complicated models. Fuzzy rule-based systems have become very popuar because of their transparency and easiness of tuning and modification.
Zorat, Alessandro, L. Koczy
openaire   +3 more sources

Probabilistic Fuzzy Systems as Additive Fuzzy Systems

2014
Probabilistic fuzzy systems combine a linguistic description of the system behaviour with statistical properties of data. It was originally derived based on Zadeh’s concept of probability of a fuzzy event. Two possible and equivalent additive reasoning schemes were proposed, that lead to the estimation of the output’s conditional probability density ...
Rui Jorge Almeida, Nick Verbeek, Uzay Kaymak, João Miguel da Costa Sousa   +3 more
openaire   +1 more source