Generating type 2 trapezoidal fuzzy membership function using genetic tuning
Fuzzy inference system (FIS) is a process of fuzzy logic reasoning to produce the output based on fuzzified inputs. The system starts with identifying input from data, applying the fuzziness to input using membership functions (MF), generating fuzzy rules for the fuzzy sets and obtaining the output....
保存先:
主要な著者: | Khairuddin, S.H., Hasan, M.H., Akhir, E.A.P., Hashmani, M.A. |
---|---|
フォーマット: | 論文 |
出版事項: |
2022
|
オンライン・アクセス: | http://scholars.utp.edu.my/id/eprint/33986/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118557277&doi=10.32604%2fcmc.2022.020666&partnerID=40&md5=68ff0daf0ccd0c9201a09f8b25d868d3 |
タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
類似資料
-
Generating type 2 trapezoidal fuzzy membership function using genetic tuning
著者:: Khairuddin, S.H., 等
出版事項: (2022) -
Integration of cluster centers and gaussian distributions in fuzzy c-means for the construction of trapezoidal membership function
著者:: Khairuddin, S.H., 等
出版事項: (2020) -
Interval Type-2 Trapezoidal Membership Function for Fuzzy C-Means through Gaussian Distribution and Genetic Tuning
著者:: Khairuddin, Siti Hajar
出版事項: (2022) -
Fuzzy Type-1 Triangular Membership Function Approximation Using Fuzzy C-Means
著者:: Azam, M.H., 等
出版事項: (2020) -
Genetic Algorithms In Optimizing Membership Function For Fuzzy Logic Controller
著者:: Ismail, H. Muh Yusuf
出版事項: (2010)