Priyanka Nagar
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Priyanka Nagar has a total of 2 co-authors. Here are the top co-authors by number of shared publications:
- Amit Srivastava
Department of Mathematics, Jaypee Institute of Information Technology, Noida 201304, Uttar Pradesh, India
2 shared publications - Pankaj Kumar Srivastava
Department of Mathematics, Jaypee Institute of Information Technology, Noida, India
2 shared publications
Latest Publications
- 1 December 2021
- Published by Ram Arti Publishers in International Journal of Mathematical, Engineering and Management Sciences
- Vol. 6 (6) , 1629-1645
Optimization of Fuzzy Species Pythagorean Transportation Problem under Preserved Uncertainties
The transportation of big species is essential to rescue or relocate them and it requires the optimized cost of transportation. The present study brings out an optimized way to handle a special class of transportation problem called the Pythagorean fuzzy species transportation problem. To deal effectively with uncertain parameters, a new method for finding the initial fuzzy basic feasible solution (IFBFS) has been developed and applied. To test the optimality of the solutions obtained, a new approach named the Pythagorean fuzzy modified distribution method is developed. After reviewing the literature, it has been observed that till now the work done on Pythagorean fuzzy transportation problems is solely based on defuzzification techniques and so the optimal solutions obtained are in crisp form only. However, the proposed study is focused to get the optimal solution in its fuzzy form only. Getting results in the fuzzy form will lead to avoid any kind of loss of information during the defuzzification process. A comparative study with other defuzzification-based methods has been done to validate the proposed approach and it confirms the utility of the proposed methodology.
- 1 December 2021
- Published by Ram Arti Publishers in International Journal of Mathematical, Engineering and Management Sciences
- Vol. 6 (6) , 1629-1645
Optimization of Fuzzy Species Pythagorean Transportation Problem under Preserved Uncertainties
The transportation of big species is essential to rescue or relocate them and it requires the optimized cost of transportation. The present study brings out an optimized way to handle a special class of transportation problem called the Pythagorean fuzzy species transportation problem. To deal effectively with uncertain parameters, a new method for finding the initial fuzzy basic feasible solution (IFBFS) has been developed and applied. To test the optimality of the solutions obtained, a new approach named the Pythagorean fuzzy modified distribution method is developed. After reviewing the literature, it has been observed that till now the work done on Pythagorean fuzzy transportation problems is solely based on defuzzification techniques and so the optimal solutions obtained are in crisp form only. However, the proposed study is focused to get the optimal solution in its fuzzy form only. Getting results in the fuzzy form will lead to avoid any kind of loss of information during the defuzzification process. A comparative study with other defuzzification-based methods has been done to validate the proposed approach and it confirms the utility of the proposed methodology.
- 15 September 2021
- Published by Springer Nature in International Journal of System Assurance Engineering and Management
- Vol. 13 (S2) , 904-913
A new dynamic score function approach to optimize a special class of Pythagorean fuzzy transportation problem
- 15 September 2021
- Published by Springer Nature in International Journal of System Assurance Engineering and Management
- Vol. 13 (S2) , 904-913
A new dynamic score function approach to optimize a special class of Pythagorean fuzzy transportation problem