THE STUDY AND APPLICATION OF THE GREY RELATIONAL GRADE

• Main Authors: Ke, Kuai-Tien, 柯凱天
• Other Authors: Hung Ta-Hsiung
• Format: Others
• Language: zh-TW
• Published: 1997
• Online Access: http://ndltd.ncl.edu.tw/handle/27331289410720527079

碩士 === 大同工學院 === 電機工程學系 === 85 === In this thesis, the grey relational analysis is applied to the decisionmaking, the classification problem,and the estimation of cluster centers.In thedecision making, the strategy is accomplished by comparing the magnitude of the grey relational grades obtained from the factors of the considered systems.In classification problem, at first, the factors are classified by means of grey relational analysis. And then, the related de-gree of these factorscan be analyzed from the classified results. Finally, in estimation of clustercenters, a new grey relational analysis scheme is proposed to process the relational degree among data , then the cluster centers can be estimated by integrating the mountain method and the proposed scheme. If these data are generated by a certain system, we can use the estimated cluster centers to build the corresponding fuzzy model. From simulation results, it is known that the classified results of the de-veloped method is the same as mmountain method, and the generated fuzzy model also can achieve the trackingproblem.