Methodological problems (imprecision in determination of VO2, assessment of global VO2 instead of regional VO2, poor correlation between systemic oxygenation parameters, and oxygenation in the microcirculation [13]) also may contribute to these discrepancies [31].
Methodological problems (imprecision in determination of VO2, assessment of global VO2 instead of regional VO2, poor correlation between systemic oxygenation parameters, and oxygenation in the microcirculation [ 13]) also may contribute to these discrepancies [ 31].
The second, typically addressed by epidemiologists, has to do with measurement problems: imprecision of variables, misclassification, and the lack of power of most studies focused on the investigation of interaction [ 13- 15].
To take into account this imprecision in the problem description, the CBR method is coupled with the fuzzy sets theory.
In the context of the measurement problem, imprecision seems to be a defect of the theory which impedes the exact determination of the theoretical quantities.
Statistical imprecision becomes a problem when stratifying by ethnicity or socioeconomic position.
Fuzzy logic is based on imprecise human reasoning and exploits the tolerance for imprecision to solve complex problems and support decision making on complex systems [17, 18, 19, 20].
We adopt a fuzzy-logic approach for decision-making due to its inherent strength in solving problems where imprecision and statistical uncertainty is introduced.
It is designed to mathematically represent uncertainty and vagueness, and to provide formalized tools for dealing with imprecision in real-world problems.
FCMs aggregate participants' experiences using Fuzzy Set Theory (FST), which is precisely "designed to mathematically represent uncertainty and vagueness, and to provide formalized tools for dealing with imprecision in real-world problems" [ 22].
