Evaluating the relationship between Diabetes and Cancer using Rough Set Theory

Abstract

This paper intends to identify the association between diabetes and breast cancer by the indication of the prospects of the Rough Set theory. Pawlak (1982) proposed the Rough set theory, a new mathematical method for inadequate facts. Without supplementary information about data, the rough set theory can easily find the minimal set using approximations which is the main advantage to get the information pattern from the big data. It makes available a proficient LEMS system for abstract in gruels from the reduction set to deduct the decisions. To excerpt decision rules commencing the Brest cancer data set, the core set was deducted using the Rough set-based tool. The outcomes of this study offer the associated findings between and the compact rules of rough set crack the information shows the relation amongst diabetes and cancer which may influence the treatment process of cancer diagnosis.