A Mathematical Study on Genetic Fuzzy Controllers Using Fuzzy Methods and Its Applications
Abstract & Details
Research Area
Mathematics
Keywords
FGA
GA
FM
GAS
GFC etc.
Abstract
Genetic fuzzy controllers using fuzzy methods and its applications allow researchers to model real-world problems through the development of intelligent and adaptive systems. FGA is a genetic algorithm that uses fuzzy logic-based techniques. The purpose of this composite is to adjust the system parameters to make them robust and optimize the performance of the genetic algorithms. This summary provides basic knowledge of FM and GAS and provides an overview of how these techniques have been cooperatively combined and applied in the real world. Therefore, in this study, GFC are implemented as plausible candidates for automatic generation controller design and application. In GA - fuzzy controllers, genetic algorithms that are based on the foundation of evolutionary inference are used as a global search method for FLC design.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Rashmi Rani | Bhagwant University, Ajmer |
| 2 | Dr. Manoj Kumar | Bhagwant University, Ajmer |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Rani, Rashmi & Kumar, Dr. Manoj (2023). A Mathematical Study on Genetic Fuzzy Controllers Using Fuzzy Methods and Its Applications. International Journal of Advance Research and Innovative Ideas In Education, 9(6), 2371-2375.
MLA Style
Rani, Rashmi, and Dr. Manoj Kumar. "A Mathematical Study on Genetic Fuzzy Controllers Using Fuzzy Methods and Its Applications." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 6, 2023, pp. 2371-2375.
IEEE Style
Rashmi Rani and Dr. Manoj Kumar, "A Mathematical Study on Genetic Fuzzy Controllers Using Fuzzy Methods and Its Applications," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 6, pp. 2371-2375, 2023.
Vancouver Style
Rani Rashmi, Kumar Dr. Manoj. A Mathematical Study on Genetic Fuzzy Controllers Using Fuzzy Methods and Its Applications. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(6):2371-2375.
Harvard Style
Rani, Rashmi & Kumar, Dr. Manoj (2023) 'A Mathematical Study on Genetic Fuzzy Controllers Using Fuzzy Methods and Its Applications', International Journal of Advance Research and Innovative Ideas In Education, 9(6), pp. 2371-2375.
Chicago Style
Rani, Rashmi and Dr. Manoj Kumar. "A Mathematical Study on Genetic Fuzzy Controllers Using Fuzzy Methods and Its Applications." International Journal of Advance Research and Innovative Ideas In Education 9, no. 6 (2023): 2371-2375.
Turabian Style
Rani, Rashmi and Dr. Manoj Kumar. "A Mathematical Study on Genetic Fuzzy Controllers Using Fuzzy Methods and Its Applications." International Journal of Advance Research and Innovative Ideas In Education 9, no. 6 (2023): 2371-2375.
Related Research
EFFECTIVENESS OF THE BLOCK METHOD IN IMPROVING STUDENTS PROBLEM-SOLVING SKILLS IN MATHEMATICS: AN EXPERIMENTAL STUDY
PDF Unavailable
Predicting Mathematics Achievement Through Critical Thinking and Self Learning Efficacy Among grade 11 STEM students.
PDF Unavailable
INFLUENCE OF STUDENTS' GENERATIVE ARTIFICIAL INTELLIGENCE UTILIZATION ON THE EMOTIONS IN MATHEMATICS LEARNING
PDF Unavailable
Effects of Differentiated Instruction on Student Academic Achievement in Mathematics: A Quasi-Experimental Study
PDF Unavailable
Teaching Strategies in Improving Students’ Engagement and Academic Achievement in Mathematics: A Quasi Experimental Study
PDF Unavailable