Abstract
The data of student's academic performance is studied as the application of fuzzy-genetic(FG) approach. Discrete and continuous data interpretation are overviewed by the linguistic classes and then its representation over the fuzzy-genetic algorithm in this chapter. This dual method has the advantages are noticed as class-variable transformation, language-number generalisation and characteristic-operation simulation. Fuzzy-genetic algorithm is a tool to study the data over the representation of randomness to weight. Hence the data represents as the discrete classes by itself as the self-organized operator under the fuzzy-genetic technique
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
