Dr. Mohit Kumar
Institute of Infrastructure Technology Research and Management, Amity University, Indian Institute of Technology Roorkee, Nanak Chand Anglo Sanskrit College
About
Dr. Mohit Kumar is an Associate Professor of Mathematics at Institute of Infrastructure Technology Research and Management, Ahmedabad, India. He received his Master degree from Nanak Chand Anglo Sanskrit (N.A.S) College, Meerut. He received his Ph.D. in Applied Mathematics with specialization of System Reliability Studies in Intuitionistic Fuzzy Environment, from Indian Institute of Technology Roorkee, India. His research interests include Fuzzy System Reliability Analysis, Fuzzy Statistics, Fuzzy Optimization and Intuitionistic Fuzzy Set Theory.
Employment
-
Institute of Infrastructure Technology Research and Management Associate Professor2024 - Present
-
Institute of Infrastructure Technology Research and Management Assistant Professor2014 - 2024
-
Amity University Assistant Professor2012 - 2014
-
Indian Institute of Technology Roorkee Research fellow2008 - 2012
Education
-
Indian Institute of Technology Roorkee Ph.D.2008 - 2013
-
Nanak Chand Anglo Sanskrit College M.Sc Mathematics
Projects & Funding
Projects & funding information is unavailable.
Publications (36)
- Taxicab Distance Based Best-Worst Method for Multi-Criteria Decision-Making: An Analytical Approach Save
- An Analytical Framework for the Linear Best-Worst Method Save
- An Enhanced Fuzzy Temporal Fault Tree Approach for System Risk Analysis: A Framework Using α-Cut Arithmetic Operations Save
- Hybrid Tw$T_w$‐Based Integrated FFT‐FBN Approach for System Reliability Analysis Save
- Employing Best–Worst Approach and Distance‐Similarity Measure Based Aggregation Method in Intuitionistic Fuzzy Fault Tree Analysis for Risk Assessment With Application to Coal Dust Explosion Save
- Interval-Valued Fuzzy Fault Tree Analysis Based on BW-ISAM and Its Application in Marine Operation Save
- An α-cut intervals based Fuzzy Best–Worst Method for Multi-Criteria Decision-Making Save
- An integrated approach of intuitionistic fuzzy fault tree and Bayesian network analysis applicable to risk analysis of ship mooring operations Save
- An α-cut interval-based similarity aggregation method to evaluate fault tree events for system safety under fuzzy environment Save
- Reliability Analysis of Process Systems Using Intuitionistic Fuzzy Set Theory Save