Shortly afterward, Kumar et al. [10] propose an algorithm (MMeR) which use the basic rough set concepts to handle categorical attribute values as well as the uncertainty of data sets in 2009.
In this method, to deal with uncertainty and vagueness of data in the primary phases of product design, performance of design concepts with respect to quantitative and qualitative criteria are concurrently evaluated using rough set and fuzzy set.
Even though nonrandomized studies have some well-known limitations (uncertainty of data collected, differences in their design and implementation, lower level of evidence than randomized controlled studies, and not being included in study registries) [ 50], they are the only studies in which patients were enrolled and treated according to physicians' clinical judgment.
Considering that we are dealing with inaccurate data obtained from different experiments [9], [10], the uncertainty of data and noise inherent in each experiment must be efficiently managed by systematically weighing or scoring these functional associations [11].
This approach accommodates the uncertainty of genotype data in statistic calculations and intrinsically deals with missing data and variable depth of loci that are common in next-generation sequencing experiments (Korneliussen et al. 2013).
Using the direct literal translation of the 19th century, his words were "The great uncertainty of all data in war is a peculiar difficulty, because all action must, to a certain extent, be planned in a mere twilight, which in addition not unfrequently -- like the effect of a fog or moonshine -- gives to things exaggerated dimension and an unnatural appearance".
This paper proposes a multi-objective fuzzy mathematical programming model for designing an environmental supply chain under inherent uncertainty of input data in such problem.
This paper proposes a robust optimization model for handling the inherent uncertainty of input data in a closed-loop supply chain network design problem.
This study addresses design methodologies of TMDs for control of bridge flutter, considering the uncertainty of aerodynamic data in order to enhance the robustness of tuned mass dampers (TMDs) against frequency drift caused by wind bridge interaction.
"The great uncertainty of all data in war is a peculiar difficulty, because all action must, to a certain extent, be planned in a mere twilight, which in addition not infrequently - like the effect of a fog or moonshine - gives to things exaggerated dimensions and unnatural appearance".
