A AHP-based method to solve contradiction matrix with multiple engineering parameters
Dan Li, Ting Yang, Guangsheng Chen
College of Information and Computer Science Engineering, Northeast Forestry University, Harbin, China
Currently, in the use of TRIZ contradiction matrix table, users need to manually find optimization parameters and deterioration parameters of the invention for the corresponding inventive principles. When many parameters are queried, the user is hard to get the statistics, which are most likely to correspond to the invention and have to rely on tedious accumulative calculation to predict the most likely corresponding inventive principle. In this paper, we aimed to apply the analytic hierarchy process (AHP) to predict the inventive principle; on the basis of the successful cases data, we can take advantage of AHP for the statistics and projections of 40 invention principle through the optimization parameters and deterioration parameters chosen. In this way, we ranked 40 invention principles by the use of probability to give users inventive principles of efficient prediction results and provide the user with a practical guide at the same time.