Variable vs. Attribute Data: Uses in Six Sigma While we’ve spent discussing how these data types work, these haven’t been tied fully into the Six Sigma methodology.

Abstract: This paper focuses on the multiple attribute decision making problems with the attribute values being numeric, uncertain fuzzy selected subset and linguistics variable evaluations. For the ...

Variable precision rough set model, as a probabilistic extension of original rough set model, is a very useful approach to inducing probabilistic rules from datasets. In this paper, some anomalies in ...