Automated Fuzzy Model Generation and an Analysis of the Proposed Method

Cengiz Coşkun
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引用次数: 2

Abstract

In this paper, software implementation and analysis of a fuzzy modeling technique, which automatically generates the membership functions and fuzzy rules using SMRGT (Simple Membership Functions and Fuzzy Rules Generation Technique), and an application of this product is presented. SMRGT method, introduced by Z. Fuat TOPRAK [10], is a technique used to determine the key values and to generate the rule base of the system. It was introduced in a research article which aimed at fuzzy-modeling of the flow discharge in open canals. In this study, SFM (SMRGT Fuzzy Modeler), a software implementation of automated fuzzy rules generation that incorporates Toprak’s methodology, is provided and a few amendments which were previously used in data mining techniques are introduced. Also a brief analysis and critics of the SMRGT method is provided.
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自动模糊模型生成及提出方法的分析
本文介绍了利用SMRGT (Simple membership functions and fuzzy rules Generation technique)自动生成隶属函数和模糊规则的模糊建模技术的软件实现和分析,并给出了该产品的应用。SMRGT方法由Z. Fuat TOPRAK[10]提出,是一种用于确定关键值并生成系统规则库的技术。本文对明渠流量的模糊建模进行了研究。在本研究中,提供了SFM (SMRGT模糊建模器),一种自动模糊规则生成的软件实现,结合了Toprak的方法,并介绍了以前在数据挖掘技术中使用的一些修改。本文还对SMRGT方法进行了简要的分析和批评。
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