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In this paper, a control strategy is proposed for control of ankle movement on animals using intraspinal microstimulation (ISMS). The proposed method is based on fuzzy logic control. Fuzzy logic control is a methodology of intelligent control that mimics human decision making process. This type of control method can be very useful for the complex uncertain systems that their mathematical model ...

This paper, presents an adapted serious game for rating social ability in children with autism spectrum disorder (ASD). The required measurements are obtained by challenges of the proposed serious game. The proposed serious game uses reinforcement learning concepts for being adaptive. It is based on fuzzy logic to evaluate the social ability level of the children with ASD. The game adapts itsel...

AbstractThis paper defines an intelligent decision support system for diagnostics for typhoid fever. Typhoid fever has numerous variables involved in identification of the disease. These variable are transformed into membership functions and passed onto the Fuzzy Logic System. The fuzzy logic System consists of the following stages fuzzification which converts the crisp data into variable data,...

This paper considers people’s driving skills diagnosis under real driving conditions. In that sense, this research presents an approach that uses GPS signals which have a direct correlation with driving maneuvers. Besides, it is presented a novel expert-driving-criteria approximation using fuzzy logic which seeks to analyze GPS signals in order to issue an intelligent driving diagnosis. Based o...

Nowadays Fuzzy Logic Controllers have been succesfully applied to a wide range of engineering control processes. Several tasks have to be performed in order to design an intelligent control system of this kind for a concrete application. One of the most important and diicult ones is the extraction of the expert known knowledge of the controlled system. The aim of this paper is to present an evo...

This paper proposes a solution by genetic algorithm/Fuzzy to problem of motion planning in an intelligent robot. When robot performs some tasks, they work along with strategy applies a Genetic Algorithm to optimize the motion planning. Robust motion are obtained, introducing and evaluation of the fitness function and also introducing modification in the genetic algorithm to taking into account ...

Motion control of mobile robots is a typical nonlinear tracking control issue and has been discussed with different control schemes such as PID, GPC, sliding mode, predictive control etc[1]-[3]. Intelligent control techniques, based on neural networks and fuzzy logic, have also been developed for path tracking control of mobile robots[4][5]. While conventional neural networks have good ability ...

Igor V. Arinichev, Sergey Polyanskikh, Galina Volkova, and Irina Arinicheva. International Journal of Fuzzy Logic Intelligent Systems 2021;21:1-11. https://doi.org/10.5391/IJFIS.2021.21.1.1

Formulating a sound digital marketing strategy is a challenging task. A Web-enabled hybrid intelligent approach that combines online simulation, fuzzy logic, if-then rules and Web databases in support of digital marketing strategy formulation is proposed and presented in this paper. The effectiveness of the Web-based integrated system is assessed through case study evaluation work, with initial...