The Study Of Multi-criteria Classification Decision-making Problem Based On Rough Set Theory

Decision-making is the core of modern management problem, multi-criteria decisionproblem occupies a large proportion in decision-making problems in the real-world. Someimportant characteristics of rough set theory make it can be applied to solve the multi-criteriaclassification decision problem.Input information is that decision-making data which decision makers use their experiencein the classification decision problem. Rough set theory can deal with both quantitative data andqualitative data, and it is not necessary to remove the inconsistent data before the analysis of thedata. For the output information, rough set theory can obtain statement of specific attributesabout problems without any additional preference information between attributes. In recent years,decision makers increasingly realize that intelligibility of decision rule is very important for them.The study of rough set theory in the multi-criteria decision problem is obtained more attention.A multi-criterion classification decision making problem is studied in this paper, whichassign alternatives observations/objects into predefined homogenous groups with order. In thispaper, a large number of the literatures of multi-criteria classification decision problem based onrough set theory are studied. By studying the dominance-based rough approximation, method ofdominance-based rough set of multi-criteria classification decision general solving steps isdiscussed. At last, the research process is analyzed using instance.In the problem of wine quality classification, this paper contrasts the different result ifconsider the domination relations of decision attribute, and analyzes the advantage of decisionrules when domination relation of the decision attribute is considered, which enriches the theoryof multi-criteria classification decision problem.This paper provides some reference for the further research and exploration of multi-criteriadecision problem based on rough set theory.