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標題Title: Multi-objective evolutionary generation of mamdani fuzzy rule-based systems based on rule and condition selection
作者Authors: 胡育嘉
上傳單位Department: 電機工程系
上傳時間Date: 2011-12-30
上傳者Author: 胡育嘉
審核單位Department: 電機工程系
審核老師Teacher: 邱俊賢
檔案類型Categories: 課堂報告In-class Report
關鍵詞Keyword: fuzzy system
摘要Abstract: In the framework of multi-objective evolutionary fuzzy systems applied to regression problems, we propose to concurrently exploit a two-level rule selection (2LRS) and an appropriate learning of the membership function (MF) parameters to generate a set of Mamdani fuzzy rule-Based systems with different trade-offs between accuracy and RB complexity. The 2LRS aims to select a reduced number of rules from a previously generated rule base and a reduced number of conditions for each selected rule.

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2011_12_86cff3a2.ppt 624Kb ppt 207 31
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