Study on hybrid AHP method with its application

Analytic Hierarchy Process (AHP) is a powerful tool to solve the tasks of multi-criterion decision system fields. But some complicated decision scenarios challenge the applications of AHP. For example, it may be either the complicated tasks are unable to be solved by AHP due to being unsatisfied with consistency condition or judgment matrix too intricate to solve, which causes AHP invalidation. To tackle such situation, an AHP knowledge system with the aid of Genetic Algorithms (GA) is proposed in which the priority order information is obtained through Rough Sets Theory (RST) method. With the development of economy globalization, enterprises and governments from home and abroad give more attention to improving the capability of self-innovation for enterprises. As a case study, the data of the self-innovation competence from investigation samples of Shanghai enterprises is fed into the proposed model and the analytical results indicate that the model is applicable.