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 …
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
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 …
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
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 …
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
This paper aims at develo** a methodology to explore the association among the risk
factors affecting failure, concerning Potential Failure Mode (PFMs) using Multinomial …
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
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 …
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
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 …
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
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 …
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
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 …
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 …
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 …
The paper represents a variation of the national income determination model with discrete
and continuous process in fuzzy environment, a significant implication in economics …
and continuous process in fuzzy environment, a significant implication in economics …