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- W2165201335 abstract "For pt.I see ibid. In this part we focus on the fuzzy system identification stage. The Fuzzy C-Means (FCM) clustering algorithm is investigated. Two indices are introduced for assignment of number of rules and level of fuzziness. An efficient method is also suggested for choosing the initial location of cluster centers. The classification problem is addressed in fuzzy modeling; and an efficient strategy is proposed for assignment of dominant input variables and their membership functions." @default.
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- W2165201335 date "2002-12-23" @default.
- W2165201335 modified "2023-09-25" @default.
- W2165201335 title "An improved fuzzy modeling algorithm. II. System identification" @default.
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- W2165201335 doi "https://doi.org/10.1109/nafips.1996.534748" @default.
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