Risk assessment by failure mode and effects analysis (FMEA) using an interval number based logistic regression model P Bhattacharjee, V Dey, UK Mandal Safety Science 132, 104967, 2020 | 102 | 2020 |
A comparative study of some prominent multi criteria decision making methods for connecting rod material selection B Sen, P Bhattacharjee, UK Mandal Perspectives in Science 8, 547-549, 2016 | 38 | 2016 |
Selection of optimal aluminum alloy using TOPSIS method under fuzzy environment P Bhattacharjee, A Debnath, S Chakraborty, UK Mandal Journal of Intelligent & Fuzzy Systems 32 (1), 871-876, 2017 | 25 | 2017 |
Failure Mode and Effects Analysis (FMEA) using interval number based BWM—MCDM approach: Risk Expected Value (REV) method P Bhattacharjee, V Dey, UK Mandal Soft Computing 26 (22), 12667-12688, 2022 | 16 | 2022 |
Quantitative risk assessment of submersible pump components using Interval number-based Multinomial Logistic Regression (MLR) model P Bhattacharjee, V Dey, UK Mandal, S Paul Reliability Engineering & System Safety 226, 108703, 2022 | 6 | 2022 |
Failure mode and effects analysis for submersible pump component using proportionate risk assessment model: A case study in the power plant of Agartala P Bhattacharjee, SAI Hussain, V Dey, UK Mandal International Journal of System Assurance Engineering and Management 14 (5 …, 2023 | 2 | 2023 |
Development and validation of an ANN model to predict the process parameters of Inconel-X750 in a CNC assisted lathe machine B Sen, P Bhattacharjee, UK Mandal Int. J. Eng. Res. Sci. Technol 5 (1), 112-124, 2016 | 1 | 2016 |
Evaluating the inhibitors in the growth of High-speed railway in India: A multi-stakeholder perspective A Debroy, KK Dadsena, P Bhattacharjee, A Verma, M Verma Transport Policy, 2024 | | 2024 |
Eclectic Decision for the Selection of Machining Process for Hastelloy X under Unstructured Environment P Bhattacharjee | | 2013 |