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Many real-world phenomenons are imprecise, vague, and concrete. To model these real-world problems have two consequences i.e., one is to representthe real problem in the precise form and the other is due to more complexity in understanding the real-world problem. So, to specify these types of phenomena fuzzy sets were developed. Traditionally, dynamic equations on time scales were developed by using the delta derivative of a function so far. Later, using the concept of backward jump operator in the definition of time scales and by using fuzzy concept, initiated fuzzy nabla dynamic equations on time scales.…mehr

Produktbeschreibung
Many real-world phenomenons are imprecise, vague, and concrete. To model these real-world problems have two consequences i.e., one is to representthe real problem in the precise form and the other is due to more complexity in understanding the real-world problem. So, to specify these types of phenomena fuzzy sets were developed. Traditionally, dynamic equations on time scales were developed by using the delta derivative of a function so far. Later, using the concept of backward jump operator in the definition of time scales and by using fuzzy concept, initiated fuzzy nabla dynamic equations on time scales.
Autorenporträt
Dr. Leelavathi Rekapalli is serving as an Assistant Professor at Andhra Loyola Institute of Engineering and Technology. She published six research articles in SCI /SCOPUS indexed journals. Dr. G. Suresh Kumar is an Associate Professor in KL deemed to be University, he published 36 research articles in various reputed journals.