This paper presents an explanation of a fuzzy model considering the correlation among components of input data. Generally, fuzzy models have a capability of�...
A new fuzzy modeling algorithm is proposed, which partitions the input space more effectively than conventional fuzzy modeling algorithms by taking into�...
This paper presents an explanation of a fuzzy model considering the correlation among components of input data. Generally, fuzzy models have a capability of�...
This paper proposes a new fuzzy modeling algorithm, which partitions the input space more effectively than conventional fuzzy modeling algorithms.
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Kim et al., A TRANSFORMED INPUT-DOMAIN APPROACH TO FUZZY MODELING, IEEE transactions on fuzzy systems, 6(4), 1998, pp. 596-604. COMMENTS ON H�...
This paper presents and discusses a transformational approach for the efficient computation of fuzzy propositions, such as (X is A), with fuzzy number�...
Other Titles: 입력 공간의 변환을 이용한 새로운 방식의 퍼지 모델링 : KL 변환방식 ; Authors: 김은태; 박민기; 이수영; 박민용 ; Issue Date: 1998-04 ; Publisher: 대한�...
In this paper, we propose the usage of the method of principal component in order to uncorrelate and remove any redundancy from the input space or the adaptive-�...
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Sep 9, 2020 � Kim E, Park M, Kim S, et al., A transformed input-domain approach to fuzzy modeling, IEEE Transaction on Fuzzy Systems, 1998, 6(4): 596–603.
The proposed method comprises of two stages viz., FLEXFIS with overlapping clustering approach and conflict analysis. The Takagi Sugeno Fuzzy model uses the�...