作者: Orhan Torkul , Ismail Hakki Cedimoglu , AK Geyik , None
关键词: Matrix (mathematics) 、 Fuzzy set operations 、 Data mining 、 Cluster analysis 、 Neuro-fuzzy 、 Similarity (network science) 、 Artificial intelligence 、 Machine learning 、 Cellular manufacturing 、 Fuzzy clustering 、 Mathematics 、 Fuzzy logic
摘要: There are several methods and techniques for manufacturing cell design. Many clustering have focused on operations that been made part-machine matrix. Some used array-based while others similarity coefficient or distance criteria in order to determine clusters. It has seen from the recent researches, solutions may be changeable related using algorithms. In investigate applicability of it is necessary obtain comparison with each other. Artificial intelligence technologies commonly use problems as other issues. this study, fuzzy logic approach studied design part families machine cells simultaneously. The aim at study compare which algorithm (Fuzzy C-Means) crisp methods. result efficient than method selected data sets.