A natural approach to designing an intelligent system is to incorporate expert knowledge into this system. One of the main approaches to translating this knowledge into computer-understandable terms is the approach of fuzzy logic. It has led to many successful applications, but in several aspects, the resulting computer representation is somewhat different from the original expert meaning. Two ...

The Intuitionistic Fuzzy Sets (IFSs), proposed in 1983, are extensions of fuzzy sets. Some years after their introduction, sequentially, intuitionistic fuzzy propositional logic, intuitionistic fuzzy predicate logic, intuitionistic fuzzy modal logic and intuitionistic fuzzy temporal logic have been introduced, presented here shortly. During the last 25 years, different intuitionistic fuzzy tool...

The paper faces the challenge to generalize existing trends and approaches in the field of artificial intelligence. Under consideration are expert systems, dynamic neural networks, probabilistic reasoning, fuzzy logic, genetic algorithms, multi-agent systems, bio-inspired algorithms, distributed nonlinear computing, chaos-driven pattern recognition. Each approach strengths and limitations are s...

In this paper, we present optimal control for movement and trajectory planning for four degrees-of-freedom robot using Fuzzy Logic (FL) and Genetic Algorithms (GAs). We have evaluated using Fuzzy Logic (FL) and Genetic Algorithms (GAs) for four degree-of-freedom (4 DOF) robotics arm, Uncertainties like; Movement, Friction and Settling Time in robotic arm movement have been compensated using Fuz...

The increase in covid-19 positive patients is unpredictable which results being unprepared dealing with Covid-19 cases. People monitoring and under supervision are the category that breastfeed to be after passing incubation period for 14 days. Artificial intelligence used predict cases of fuzzy logic. logic method this study mamdani method. enter variables ODP, PDP, 3 sets low, medium, high res...

Fuzzy Logic is an Artificial Intelligence technique that is dedicated to the construction of meta-models based on the human comprehension of a specific phenomenon. When a person is capable to understand such a phenomenon, it is possible to determine the response of the plant based on subjective rules associated to the system under study. This contribution focus on the use of fuzzy logic techniq...

Intensive care is a complex environment involving many signals, data and observations. Clinical decision support and artificial intelligence using fuzzy logic and closed loop techniques are methods that might help us to handle this complexity in a safe, effective and efficient way. Merouani and colleagues have performed a study using fuzzy logic and closed loop techniques to more effectively we...

This paper contributes an overview of application of intelligent tools into the sector of b2b training. We present three prototype intelligent tools developed with artificial intelligence techniques (neural-networks and fuzzy-logic) which have been successfully applied to business training.

In this paper, the speed control of an induction motor fed by matrix converter using fuzzy logic controller is proposed. In order to achieve high performance control of matrix converter fed the induction motor drive system, a combined controller Venturini and direct field oriented control (FOC) algorithms is proposed. The present paper focuses about the artificial intelligence technique particu...

The development and implementation of a mobile robot is presented. The robot uses Fuzzy Logic to navigate in varying environments and his implementation has been carried out using inexpensive components and tools. The achieved performance encourages that this work will serve as a basis platform for the research of other paradigms in Control and Artificial Intelligence. Keywords— Mobile robots; ...