Prediction Based On Rough Sets The Market Of Potential Customers

Rough set is a new valid mathematical theory developed in recent years，whichhas the ability to deal with imprecise，fuzzy，and vague information．It can find validand potentially useful knowledge in data．Since then，it has become increasinglypopular and has been applied in such fields as machine learning，data mining，andintelligent data analyzing successfully．This thesis studies application in the market ofpotential customers forecast on rough set theory．First, this thesis first elaborated the selected topic background，customer relationsmanagement as well as rough set theory development and present situation；next,study the domestic and foreign newest achievements．Through to correlation theoriesand method summary and contrast analysis，lays the foundation for the present paperthorough research．Data quality serious influence knowledge discovery algorithmoperating efficiency and application effect，studied the reduction method which callprocess the inconsistent policy-making table directly．Secondly, this thesis has studied the rough set data pretreatment，continuous datadiscretization，knowledge reduction and classification rules. This thesis has studiedcustomer classification forecast model which is based on the rough set．Mainly takethe rough set theory as the foundation，first gains the data from the CRM system，andconvert them into relevant decision table．Secondly，we complete and discretize thedata in the decision table．Thirdly，we reduce the attribute and value．Lastly，we canconclude rules for making decision and establish logic ratiocination system．Finally, the marketing strategy will be according to corresponding clients, whichis helpful to cut down expense，increase the sale，enlarge the outputs，and make greatprofit for the corporation．...