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The basic concepts of the rough set theory (RST) are introduced. An example of the rough set theory application to the chemical solvents selection problem (CSSP) is presented. Through the RST, we get a good multi-attributes decision-making effect in the chemical solvents selection. This work demonstrates how the use of RST in chemical process development by allowing efficient and reliable improvement of a given synthetic step. And other numerous earlier applications of rough set theory to the various scientific domains suggest that it also can be a useful tool for the analysis of inexact, uncertain, or vague chemical data.

Using Rough Set Theory to Achieve Reliable Chemical Solvents Selection: A Multi-attribute Decision Case Study