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Design and Evaluation of ANFIS-based Classification Model
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Hee Seok Song (Department of Management Information System, Hannam University)
Jea Kyeong Kim (The School of Management, Kyung Hee University)
Vol. 15, No. 3, Page: 151 ~ 165
Keywords
Fuzzy System, Fuzzy Neural Network, ANFIS
Abstract
Fuzzy neural network is an integrated model of artificial neural network and fuzzy system and it has been successfully applied in control and forecasting area. Recently ANFIS(Adaptive Network-based Fuzzy Inference System) has been noticed widely among various fuzzy neural network models because of its outstanding accuracy of control and forecasting area. We design a new classification model based on ANFIS and evaluate it in terms of classification accuracy. We identified ANFIS-based classification model has higher classification accuracy compared to existing classification model, C5.0 decision tree model by comparing their experimental results.
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ANFIS 기반 분류모형의 설계 및 성능평가
송희석 (한남대학교 경영정보학과)
김재경 (경희대학교 경영대학, 경영연구원)
Abstract
퍼지신경망 모형은 인공신경망의 네트워크 구조 표현방법 및 학습알고리듬과 퍼지시스템의 추론방법을 통합한 모형으로 제어 및 예측분야에 성공적으로 적용되고 있다. 본 연구에서는 퍼지신경망 모형 중 우수한 예측정확도로 인해 최근 각광받고 있는ANFIS (Adaptive Network-based Fuzzy Inference System)모형을 기반으로 하는 분류모형을 설계하고 기존의 분류기법(C5.0 의사결정나무)과 비교하여 분류 정확성 관점에서 평가한다. ANFIS 추론의 경우, 최종 결과값이 계급값이 아닌 연속형 변수값을 취하게 되므로 산출된 결과값을 이용하여 적절한 계급값을 할당하는 과정이 필요하다. 본 연구에서는 의사결정나무기법을 이용하여 계급값을 할당하는 방식과 군집분석을 이용하여 계급값을 할당하는 두 가지 방식을 제안하고 두 가지 데이터 세트에 적용하여 ANFIS를 기반으로 한 분류모형의 정확도를 평가하였다.
Cite this article
JIIS Style
Song, H. S., and J. K. Kim, "Design and Evaluation of ANFIS-based Classification Model ", Journal of Intelligence and Information Systems, Vol. 15, No. 3 (2009), 151~165.

IEEE Style
Hee Seok Song, and Jea Kyeong Kim, "Design and Evaluation of ANFIS-based Classification Model ", Journal of Intelligence and Information Systems, vol. 15, no. 3, pp. 151~165, 2009.

ACM Style
Song, H. S., and Kim, J. K., 2009. Design and Evaluation of ANFIS-based Classification Model . Journal of Intelligence and Information Systems. 15, 3, 151--165.
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@article{Song:JIIS:2009:379,
author = {Song, Hee Seok and Kim, Jea Kyeong},
title = {Design and Evaluation of ANFIS-based Classification Model },
journal = {Journal of Intelligence and Information Systems},
issue_date = {September 2009},
volume = {15},
number = {3},
month = Sep,
year = {2009},
issn = {2288-4866},
pages = {151--165},
url = {},
doi = {},
publisher = {Korea Intelligent Information System Society},
address = {Seoul, Republic of Korea},
keywords = { Fuzzy System, Fuzzy Neural Network and ANFIS },
}
%0 Journal Article
%1 379
%A Hee Seok Song
%A Jea Kyeong Kim
%T Design and Evaluation of ANFIS-based Classification Model
%J Journal of Intelligence and Information Systems
%@ 2288-4866
%V 15
%N 3
%P 151-165
%D 2009
%R
%I Korea Intelligent Information System Society