Dr. P. Senthil Kumar
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Dr. P. Senthil Kumar

Associate Professor
Amity School of Engineering and Technology of Amity University, Bengaluru, Karnataka, India.


Highest Degree
Ph.D. in Mathematics from Bharathidasan University, India

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Biography

He has 12 years of teaching & research experience. He has introduced the PSK (P. Senthil Kumar) method & PSK theorem for solving optimization problems in uncertain environments. Its relevant articles have been published in Springer journals, which are indexed in Scopus & WOS. He has published many research papers in peer-reviewed journals. He has been acting as an EBM of various reputed journals.

Area of Interest:

Mathematics
100%
Operations Research
62%
Fuzzy Optimization
90%
Fuzzy Mathematics
75%
Applied Mathematics
55%

Research Publications in Numbers

Books
0
Chapters
4
Articles
23
Abstracts
3

Selected Publications

  1. Kumar, P.S., 2021. Finding the Solution of Balanced and Unbalanced Intuitionistic Fuzzy Transportation Problems by Using Different Methods with Some Software Packages. In: Handbook of Research on Applied AI for International Business and Marketing Applications, Christiansen, B. and T. Škrinjarić (Eds.), IGI Global, Hershey, Pennsylvania, ISBN13: 9781799850779, pp: 278-320.
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  2. Kumar, P.S., 2021. Computationally simple and efficient method for solving real-life mixed intuitionistic fuzzy 3D assignment problems. Int. J. Software Sci. Comput. Intell., 14: 1-42.
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  3. Kumar, P.S., 2020. Intuitionistic fuzzy zero point method for solving type-2 intuitionistic fuzzy transportation problem. Int. J. Oper. Res., 37: 418-451.
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  4. Kumar, P.S., 2020. Developing a new approach to solve solid assignment problems under intuitionistic fuzzy environment. Int. J. Fuzzy Syst. Appl., 9: 1-34.
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  5. Kumar, P.S., 2020. Algorithms for solving the optimization problems using fuzzy and intuitionistic fuzzy set. Int. J. Syst. Assur. Eng. Manag., 11: 189-222.
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  6. Kumar, P.S., 2020. The PSK Method for Solving Fully Intuitionistic Fuzzy Assignment Problems With Some Software Tools. In: Theoretical and Applied Mathematics in International Business, Christiansen, B. and F. Shuwaikh (Eds.), IGI Global, Hershey, Pennsylvania, ISBN13: 9781522584582, pp: 149-202.
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  7. Kumar, P.S., 2019. PSK method for solving mixed and type-4 intuitionistic fuzzy solid transportation problems. Int. J. Oper. Res. Inf. Syst., 10: 20-53.
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  8. Kumar, P.S., 2019. Intuitionistic fuzzy solid assignment problems: A software-based approach. Int. J. Syst. Assur. Eng. Manag., 10: 661-675.
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  9. Kumar, P.S., 2018. Search for an Optimal Solution to Vague Traffic Problems Using the PSK Method. In: Handbook of Research on Investigations in Artificial Life Research and Development, Habib, M (Ed.), IGI Global, Hershey, Pennsylvania, ISBN13: 9781522553960, pp: 219-257.
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  10. Kumar, P.S., 2018. PSK method for solving intuitionistic fuzzy solid transportation problems. Int. J. Fuzzy Syst. Appl., 7: 62-99.
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  11. Kumar, P.S., 2018. Linear programming approach for solving balanced and unbalanced intuitionistic fuzzy transportation problems. Int. J. Oper. Res. Inf. Syst., 9: 73-100.
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  12. Kumar, P.S., 2018. A simple and efficient algorithm for solving type-1 intuitionistic fuzzy solid transportation problems. Int. J. Oper. Res. Inf. Syst., 9: 90-122.
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  13. Kumar, P.S., 2018. A note on 'a new approach for solving intuitionistic fuzzy transportation problem of type-2'. Int. J. Logist. Syst. Manage., 29: 102-129.
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  14. Kumar, P.S., 2017. PSK method for solving type-1 and type-3 fuzzy transportation problems. In: PSK Method for Solving Type-1 and Type-3 Fuzzy Transportation Problems, Management Association, Information Resources (Ed.)., IGI Global, Hershey, Pennsylvania, ISBN13: 9781522519089, pp: 367-392.
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  15. Kumar, P.S., 2016. PSK method for solving type-1 and type-3 fuzzy transportation problems. Int. J. Fuzzy Syst. Appl., 5: 121-146.
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  16. Kumar, P.S., 2016. A simple method for solving type-2 and type-4 fuzzy transportation problems. Int. J. Fuzzy Logic Intell. Syst., 16: 225-237.
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  17. Kumar, P.S. and R.J. Hussain, 2016. Computationally simple approach for solving fully intuitionistic fuzzy real life transportation problems. Int. J. Syst. Assur. Eng. Manag., 7: 90-101.
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  18. Kumar, P.S. and R.J. Hussain, 2016. A simple method for solving fully intuitionistic fuzzy real life assignment problem. Int. J. Oper. Res. Inf. Syst., 7: 39-61.
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  19. Kumar, P.S. and R.J. Hussain, 2014. A systematic approach for solving mixed intuitionistic fuzzy transportation problems. Int. J. Pure and Appl. Math., 92: 181-190.
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  20. Hussain, R.J. and P.S. Kumar, 2013. An optimal more-for-less solution of mixed constraints intuitionistic fuzzy transportation problems. Int. J. Contemp. Math. Sci., 8: 565-576.
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