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A self-constructing learning algorithm, which consists of the self-clustering algorithm (SCA), fuzzy entropy, and the backpropagation algorithm, is also proposed to construct the NFIS_MMF model and perform parameter learning. Simulations were conducted to show the performance and applicability of the proposed model.<\/jats:p>","DOI":"10.20965\/jaciii.2007.p0365","type":"journal-article","created":{"date-parts":[[2016,4,14]],"date-time":"2016-04-14T02:08:34Z","timestamp":1460599714000},"page":"365-372","source":"Crossref","is-referenced-by-count":1,"title":["A Novel Neuro-Fuzzy Inference System with Multi-Level Membership Function for Classification Applications"],"prefix":"10.20965","volume":"11","author":[{"given":"Cheng-Jian","family":"Lin","sequence":"first","affiliation":[]},{"name":"Department of Computer Science and Information Engineering, Chaoyang University of Technology, Taichung, Taiwan 413, R.O.C.","sequence":"first","affiliation":[]},{"given":"Chi-Yung","family":"Lee","sequence":"additional","affiliation":[]},{"given":"Cheng-Hung","family":"Chen","sequence":"additional","affiliation":[]},{"name":"Department of Computer Science and Information Engineering, Nankai Institute of Technology, Nantou, Taiwan 542, R.O.C.","sequence":"additional","affiliation":[]}],"member":"8550","published-online":{"date-parts":[[2007,4,20]]},"reference":[{"unstructured":"P. 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