An integrated simulation and risk-assessment approach is proposed, which includes a multi-phase and multi-component modeling system for simulating flow and transport of petroleum constituents in the subsurface and a fuzzy relation analysis (FRA) model for assessing environmental risks under uncertainty.
And a novel grey relation analysis method as a way to determine the secondary variables is proposed.
By further conducting a dual variant relation analysis, p-mTOR was positively correlated with VEGF-C and VEGF-D (p < 0.05).
By further conducting a dual variant relation analysis, p-Akt was positively correlated with p-mTOR/VEGF-C/VEGF-D (p < 0.05) and p-mTOR was also positively related to VEGF-C/VEGF-D (p < 0.05).
In addition, a new method, called "method relation analysis" (MRA) is proposed, which provides a tool to investigate the effects of different evaluation techniques on the design of the energy system and is exemplary shown for carbon footprint and emergy analysis.
Therefore, Grey relation analysis is an effective means of analysing the relationship between less-than-data sequences and can analyse many factors that can overcome the drawback of the statistical method by Pradhan (2013).
Task 2: Synonym analysis 1. Task 2.1: Computer-aided synonym analysis (a) Definition-duplicate analysis: identify definition duplicates (b) Relation analysis: identify relevant relation types by analyzing metadata given in the source glossaries (c) Harmonization and merging of entries 2.
Using dispersion relation analysis allows the effective resolution of a numerical scheme for the advection equation to be calculated.
By integrating the strength of rough sets in handling vagueness and the merit of grey relation analysis in modeling multi-criteria decision-making, a rough number enabled grey relation analysis (called rough grey analysis) is proposed to evaluate design concepts.
Relation analysis: identify relevant relation types by analyzing metadata given in the source glossaries.
