[HTML][HTML] Sensitivity analysis approaches in multi-criteria decision analysis: A systematic review
In the field of Multi-Criteria Decision Analysis (MCDA), the deployment of sensitivity analysis
has become a fundamental approach to testing the robustness and reliability of the results …
has become a fundamental approach to testing the robustness and reliability of the results …
[HTML][HTML] A multi-dimensional sensitivity analysis approach for evaluating the robustness of renewable energy sources in European countries
The necessity of making reliable decisions is exceptionally important in the field of
sustainable development, particularly when evaluating the management of renewable …
sustainable development, particularly when evaluating the management of renewable …
Strategic optimization of large-scale solar PV parks with PEM Electrolyzer-based hydrogen production, storage, and transportation to minimize hydrogen delivery costs …
This research presents a single-line optimization framework for large-scale, site-to-
consumption green hydrogen production, integrating solar photovoltaic parks with proton …
consumption green hydrogen production, integrating solar photovoltaic parks with proton …
Machine learning aided model predictive control with multi-objective optimization and multi-criteria decision making
Abstract Model predictive control (MPC) is a well-established control methodology in
chemical engineering, but the increasing complexity of chemical processes necessitates the …
chemical engineering, but the increasing complexity of chemical processes necessitates the …
Thermo-economic optimization of hybrid solar-biomass driven organic rankine cycle integrated heat pump and PEM electrolyser for combined power, heating, and …
The energy sector prioritizes innovative clean energy production. This research explores a
versatile hybrid solar-biomass trigeneration system, integrating organic Rankine cycle …
versatile hybrid solar-biomass trigeneration system, integrating organic Rankine cycle …
[HTML][HTML] A new sensitivity analysis method for decision-making with multiple parameters modification
In today's world, addressing multi-criteria decision problems presents a considerable
challenge due to their inherent complexity. Decision-makers face diverse and often …
challenge due to their inherent complexity. Decision-makers face diverse and often …
[HTML][HTML] Multi-Criteria Decision Making in Chemical and Process Engineering: Methods, Progress, and Potential
Multi-criteria decision making (MCDM) is necessary for choosing one from the available
alternatives (or from the Pareto-optimal solutions obtained by multi-objective optimization) …
alternatives (or from the Pareto-optimal solutions obtained by multi-objective optimization) …
[HTML][HTML] PySensMCDA: A novel tool for sensitivity analysis in multi-criteria problems
The presented programming package introduces an innovative tool for sensitivity analysis
within Multi-Criteria Decision Analysis (MCDA), offering a modular and flexible structure for …
within Multi-Criteria Decision Analysis (MCDA), offering a modular and flexible structure for …
Solar powered cascade system for sustainable deep-freezing and power generation-exergoeconomic evaluation and multi-objective optimization for tropical regions
The global initiative to decarbonize the refrigeration sector aims to provide cooling energy
while reducing CO 2 emissions. In India, the majority of urban industrial refrigeration …
while reducing CO 2 emissions. In India, the majority of urban industrial refrigeration …
Interpreting the Determinants of Sensitivity in MCDM Methods with a New Perspective: An Application on E-Scooter Selection with the PROBID Method
TIt is not a desirable situation when input parameters excessively affect the results of a
system as well as imply unwarranted drift and inefficiency. This situation, which expresses …
system as well as imply unwarranted drift and inefficiency. This situation, which expresses …