
## 5. Conclusion

Rough Set Theory presents quite successful solutions for analysis and classifications of big data sets that consist of a large number of qualifications. By rule reduction technique; analyzing data becomes easier. However, detecting rule reduction cases in information system of big data sets is pretty complicated. In this paper, information about methods of rule reduction called RG and MRG is given. Beside their availability, the cases, in which these two methods are deficient, are explained. Methods for problems are as effective as their availability. And, approaches with huge costs are rarely preferred. PRG algorithm, which is developed in this paper for more efficient and useable approaches, fills the deficient part of the other two algorithms. By avoiding redundant rule reductions, PRG algorithm not only facilitates the analysis of information system, but also makes the problem solved in shorter time.

## 6. References

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