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In this study, a DSS for innovation management is introduced. The DSS utilizes the data acquired by a web based questionnaire which is filled in by the upper managers of the manufacturing companies. The DSS compares their answers with the responds of the other companies existing in the database of the DSS and determines the weak points of the company which have room for further improvement and at the same time significantly affect innovativeness. In order to determine the significance of the innovation determinants a genetic algorithm based feature weighting methodology that is based on k-nn classifier is developed.