Pavan Kumar

Orcid: 0000-0001-5340-7777

Affiliations:
  • VIT Bhopal University, Sehore, Madhya Pradesh, India
  • National Institute of Technology Warangal, Department of Mathematics, India (former)


According to our database1, Pavan Kumar authored at least 13 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2022
A goal programming approach for multi-objective linear fractional programming problem with LR possibilistic variables.
Int. J. Syst. Assur. Eng. Manag., 2022

Solution of Extended Multi-Objective Portfolio Selection Problem in Uncertain Environment Using Weighted Tchebycheff Method.
Comput., 2022

Improved YOLOv3-tiny Object Detector with Dilated CNN for Drone-Captured Images.
Proceedings of the 3rd International Conference on Intelligent Data Science Technologies and Applications, 2022

Solving Interval Investment Problem in Vague Environment Using Dynamic Programming Approach.
Proceedings of the Fuzzy Systems and Data Mining VIII, 2022

2021
On Determining the Critical Path of Activity Network with Normalized Heptagonal Fuzzy Data.
Wirel. Commun. Mob. Comput., 2021

On characterizing solution for multi-objective fractional two-stage solid transportation problem under fuzzy environment.
J. Intell. Syst., 2021

Solving Discounting Problem Using Piece-Wise Quadratic Fuzzy Numbers: Discounting Problem.
Int. J. Fuzzy Syst. Appl., 2021

Solving Constrained Flow-Shop Scheduling Problem through Multistage Fuzzy Binding Approach with Fuzzy Due Dates.
Adv. Fuzzy Syst., 2021

2020
Enhancement of Capacitated Transportation Problem in Fuzzy Environment.
Adv. Fuzzy Syst., 2020

2016
ININ Submission to Zero Cost ASR Task at MediaEval 2016.
Proceedings of the Working Notes Proceedings of the MediaEval 2016 Workshop, 2016

2015
Application of fuzzy goal programming approach to multi-objective linear fractional inventory model.
Int. J. Syst. Sci., 2015

Multi-objective linear fractional inventory model of multi-products with price-dependant demand rate in fuzzy environment.
Int. J. Math. Oper. Res., 2015

A partial backlogging inventory model for deteriorating items with time-varying demand and holding cost.
Int. J. Math. Oper. Res., 2015


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