Chen C.-L.Hsieh C.-T.2019-05-212019-05-21199603681653https://scholars.lib.ntu.edu.tw/handle/123456789/409710A new means for designating membership functions in a fuzzy logic controller is presented in this article. This method constructs a set of membership functions systematically by using only two parameters: number of fuzzy subsets and shrinking factors. The membership functions generated by this method, called Shrinking-Span Memebership Functions (SSMFs), have different spans in the universe of discourse and, therefore, are more rational and more practical from the human experts' point of view. The fuzzy logic controller equips with such membership functions (SSMFs-FLC) can be implemented with little difficulties. and the satisfactory performance of the controller can be acquired without laborous optimization calculation of the tuning parameters. Since it lessens the load of computation in realizing a fuzzy logic controller, this new approach greatly narrows the gap between a theoretical fuzzy logic controller and a practical one, and thus help the fuzzy logic controller more down-to-earth.Fuzzy Logic ControlFuzzy SetsShrinking-Span Membership Functionsjournal article2-s2.0-0030233305https://www.scopus.com/inward/record.uri?eid=2-s2.0-0030233305&partnerID=40&md5=44ace57f3a6bb7084276a1d681382ae5