Abstract: One of basic principle of any organization is to assure about obtained figures from measuring products. If the measured data was not trusted, will be lead to a wrong decisions regarding the approval or rejection of products and obviously the cost would be great. First cases in measurement systems analysis which crossing minds are criteria for approval or rejection any mea...

Attribute Reduction has a significant role in different branches of artificial intelligence like machine learning, pattern recognition, data mining from databases etc. This paper deals with reduction of unimportant attribute(s) for classification and decision making, using Fuzzy-Rough set. A survey of Fuzzy-Rough set based methods for attribute reduction is presented here.

Automated decision making systems are increasingly being used in real-world applications. In these systems for the most part, the decision rules are derived by minimizing the training error on the available historical data. Therefore, if there is a bias related to a sensitive attribute such as gender, race, religion, etc. in the data, say, due to cultural/historical discriminatory practices aga...