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Subjects / keywords: Technology: Engineering (General). Civil engineering (General); Science: Mathematics

Subjects / keywords: fuzzy information, soft computing, fuzzy engineering, fuzzy operations research, artificial intelligence, fuzzy sets and systems; Technology: Engineering (General). Civil engineering (General); Science: Mathematics

Mobility-as-a-Service (MaaS) orchestration faces critical challenges in managing the Service Quality Index (SQI), Fleet Utilization Ratio (FUR), and Dynamic Pricing Index (DPI) under uncertain and time-varying urban dema...

Anaerobic co-digestion of livestock waste presents a viable approach for addressing environmental challenges and reducing greenhouse gas emissions in semi-urban and rural contexts. This study focuses on the development o...

The article talks about the increasing importance of the practical use of fuzzy differential equations in modeling complex problems in various fields, such as science and engineering, as these differential equations allo...

Abstract Electric load simulator (ELS) systems are employed for electric power steering (EPS) test benches to load rack force by precise control. Precise ELS control is strongly influenced by nonlinear factors. When the ...

In this Ph. D thesis, the main significant contributions are: formulation of a new non-linear membership function using fuzzy approach to capture and describe vagueness in the technological coefficients of constraints in...

Previous article Next article Fractional Brownian Motions, Fractional Noises and ApplicationsBenoit B. Mandelbrot and John W. Van NessBenoit B. Mandelbrot and John W. Van Nesshttps://doi.org/10.1137/1010093PDFBibTexSecti...

A mathematical tool to build a fuzzy model of a system where fuzzy implications and reasoning are used is presented in this paper. The premise of an implication is the description of fuzzy subspace of inputs and its cons...

Subjects / keywords: Fuzzy logic; Controller (irrigation); Computer science; Heuristic; Set (abstract data type); Control (management); Operator (biology); Control engineering; Artificial intelligence; Engineering; Programming language; Bioc...

Subjects / keywords: fuzzy systems; Technology: Electrical engineering. Electronics. Nuclear engineering; Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software

Subjects / keywords: algebraic logic, boolean-valued fuzzy sets, fuzzy model theory, l-fuzzy sets, rough sets, states of fuzzy structures; Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics....

Subjects / keywords: particle swarm optimization, artificial neural networks, neuro-fuzzy systems, machine learning, data mining, genetic programming; Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Compute...

Subjects / keywords: intelligent systems, fuzzy systems, web-based systems, computer science, electrical engineering, manufacturing engineering; Science: Mathematics: Instruments and machines: Electronic computers. Computer science

Subjects / keywords: fuzzy logic, neural networks, evolutionary and bio-inspired computation, learning theory, probability theory, hybrid methods; Technology: Technology (General): Industrial engineering. Management engineering: Information ...

Subjects / keywords: analytical methods, fuzzy methods, continuous simulation, linear optimization, qualitative modeling, fuzzy logic; Technology: Engineering (General). Civil engineering (General): Engineering design

Abstract Accurate estimation of sideslip angle and vehicle velocity is crucial for effective control of distributed drive electric vehicles. However, as these states are not directly measured, Kalman-based approaches uti...

Abstract A bionic flexible manipulator driven by pneumatic muscle actuator (PMA) can better reflect the flexibility of the mechanism. Current research on PMA mainly focuses on the modeling and control strategy of the pne...

The digital poultry sector faces challenges in maintaining stable incubation temperatures. Comparative evaluation between Sugeno and Tsukamoto methods has not been conducted in real-world IoT systems. This research is es...

Abstract Due to quick response and large quantity of electric motor torque, the traction wheels of battery electric vehicle are easy to slip during the initial phase of starting. In this paper, a sliding mode control app...

Abstract Based on Multi-Masking Empirical Mode Decomposition (MMEMD) and fuzzy c-means (FCM) clustering, a new method of wind turbine bearing fault diagnosis FCM-MMEMD is proposed, which can determine the fault accuratel...

Abstract The driver-automation shared driving is a transition to fully-autonomous driving, in which human driver and vehicular controller cooperatively share the control authority. This paper investigates the shared stee...

Introduction. Stator flow-oriented control is currently the most widely used system in industry or in previous research for improving the quality of mechanical power generated by permanent magnet synchronous motors (PMSM...

Abstract Robustness against measurement uncertainties is crucial for gas turbine engine diagnosis. While current research focuses mainly on measurement noise, measurement bias remains challenging. This study proposes a n...