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, 2020 - Elsevier
In order to reduce risks of failure, industries use a methodology called Failure Mode and
Effects Analysis (FMEA) in terms of the Risk Priority Number (RPN). The RPN number is a …

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, 2022 - Springer
One of the most popular structured approaches in risk assessment is Failure Mode and
Effects Analysis (FMEA) that helps in discovering potential failures existing within the design …

Study of two species prey-predator model in imprecise environment with MSY policy under different harvesting scenario

A Mahata, SP Mondal, B Roy, S Alam - Environment, Development and …, 2021 - Springer
Parameters involve in various ecological models are mostly uncertain due to ever changing
characteristic of nature. This article, deals with a basic predator–prey model where …

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 & …, 2022 - Elsevier
This paper aims at develo** a methodology to explore the association among the risk
factors affecting failure, concerning Potential Failure Mode (PFMs) using Multinomial …

The behavior of logistic equation with alley effect in fuzzy environment: fuzzy differential equation approach

S Salahshour, A Ahmadian, A Mahata… - International journal of …, 2018 - Springer
In this paper a fuzzy logistic equation with alley effect is introduced by considering some
parameter as fuzzy numbers. Due to presence of the fuzzy number the corresponding …

Application of ordinary differential equation in glucose-insulin regulatory system modeling in fuzzy environment

A Mahata, B Roy, SP Mondal, S Alam - Ecological Genetics and Genomics, 2017 - Elsevier
In this paper we study the application of ordinary differential equation in Glucose-Insulin
Regulatory system modeling which is considered in fuzzy environment. The solution strategy …

Influence of impreciseness in designing tritrophic level complex food chain modeling in interval environment

A Mahata, SP Mondal, B Roy, S Alam, M Salimi… - Advances in Difference …, 2020 - Springer
In this paper, we construct a tritrophic level food chain model considering the model
parameters as fuzzy interval numbers. We check the positivity and boundedness of solutions …

[HTML][HTML] A study on imprecise mathematical model for optimal management and utilization of renewable resource by population

SN Matia, A Mahata, S Paul, S Mukherjee… - Results in Control and …, 2023 - Elsevier
The development and survival of the biological population depend heavily on the availability
of food and other materials that may be produced from renewable resources. In real life …

[PDF][PDF] Numerical solution of fuzzy delayed prey-predator model: Hukuhara derivative approach

MA Biswas, A Acharya - Gradiva Rev J, 2022 - researchgate.net
Delay differential equation plays a very significant role for mathematical modelling in any
branches of science, technology, engineering and management. In this article a prey …

An optimization technique for national income determination model with stability analysis of differential equation in discrete and continuous process under the …

B Sarkar, SP Mondal, S Hur, A Ahmadian… - RAIRO-Operations …, 2019 - rairo-ro.org
The paper represents a variation of the national income determination model with discrete
and continuous process in fuzzy environment, a significant implication in economics …