Results 121 to 130 of about 245 (160)
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On Multivariate Fuzzy Time Series Analysis and Forecasting
2002In this paper, we propose an integrated procedure for multivariate fuzzy time series modeling and its theory structure through fuzzy relation equations in this research. Combining the data of closing price and trading volume, we apply this method to construct multivariate fuzzy time series model for Taiwan Weighted Stock Index and forecast future trend
Wu, Berlin, Hsu, Yu-Yun
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Computers & Chemical Engineering, 2005
DNA microarray technologies, which monitor simultaneously, the expression pattern of thousands of individual genes in different biological systems have resulted in a tremendous increase of the amount of available gene expression data and have provided new insights into gene expression during development, within disease processes, and across species ...
ChangKyoo Yoo +2 more
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DNA microarray technologies, which monitor simultaneously, the expression pattern of thousands of individual genes in different biological systems have resulted in a tremendous increase of the amount of available gene expression data and have provided new insights into gene expression during development, within disease processes, and across species ...
ChangKyoo Yoo +2 more
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Trend of Fuzzy Multivariant Analysis in Management Engineering
2005In 1965 L.A. Zadeh presented a fuzzy set. After then, fuzzy clustering method was proposed in early stage. L.A. Zadeh presented the concept of similarity for a fuzzy set in 1981. Ruspini proposed a clustering method based on fuzzy decomposition. Dunn and Bezdek wrote a clustering based on IDODATA algorithm in terms of fuzzy concept.
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A self-organizing recurrent fuzzy neural network based on multivariate time series analysis
Neural Computing and Applications, 2020Fuzzy neural networks (FNNs) have attracted considerable interest for modeling nonlinear dynamic systems in recent years. However, the recurrent design and the self-organizing design of FNNs generally lack adaptability, and their analyses on the change rule of networks in continuous time are insufficient.
Haixu Ding +2 more
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Stability and robustness analysis of uncertain multivariable fuzzy digital control systems
1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228), 2002Presents the stability and robustness analysis of digital fuzzy control systems subject to parameter uncertainties. To carry out the analysis, we first describe exactly a digital nonlinear system with parameter uncertainties with a fuzzy plant model. Second, a digital fuzzy controller is proposed to close the feedback loop.
F.H.F. Leung, H.K. Lam, P.K.S. Tam
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A multivariable fuzzy generalized predictive control approach and its performance analysis
Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207), 1998We use the Takagi-Sugeno fuzzy model to express nonlinear dynamic systems, and present a fast online identification algorithm. A multivariable fuzzy generalized predictive control approach is put forward based on the identified fuzzy model by means of Clark's principle of single-variable generalized predictive control. The steady state performances and
null Zhang Hua-Guang, null Zeungnam Bien
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MULTIVARIATE FUZZY-TERMED DATA ANALYSIS: ISSUES AND METHODS
FUZZY ECONOMIC REVIEW, 2001Abstracting the signification from an amorphous conglomerate of data requires appropriate techniques for making patent some latent cognitive structures. This paper is devoted to the challenging case when fuzzy-termed data occur in a survey. The fuzzy paradigm is inherently assumed, but the representation formalism related to it induces a higher ...
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Statistics in Medicine, 2005
AbstractWe present an exploratory analysis methodology for a multiple series of multivariate temporal data subject to censoring, and thus requiring the introduction of a coding technique: fuzzy coding preserving a large amount of the distributional information is fully adapted. Correspondence analysis is performed on the array produced by fuzzy coding.
Pardoux, Catherine, Goldfarb, Bernard
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AbstractWe present an exploratory analysis methodology for a multiple series of multivariate temporal data subject to censoring, and thus requiring the introduction of a coding technique: fuzzy coding preserving a large amount of the distributional information is fully adapted. Correspondence analysis is performed on the array produced by fuzzy coding.
Pardoux, Catherine, Goldfarb, Bernard
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Fuzzy indirect adaptive control and robustness analysis for unknown multivariable nonlinear systems
Proceedings of 6th International Fuzzy Systems Conference, 2002In this paper, we deal with the problem of controlling an unknown nonlinear dynamical system that is modeled by fuzzy logic systems. In the ideal case of complete model matching, convergence of the state of zero plus boundedness of all signals in the closed loop system is ensured. Moreover, the robustness of the controller designed in the ideal case is
null Tong Shaocheng +2 more
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Consumer-centered product design specifications using fuzzy multivariate regression analysis
1993 (2nd) International Symposium on Uncertainty Modeling and Analysis, 2002To optimize product design, it is desirable that a functional model that describes the correlation between the product attributes and the design specifications is available. A new methodology which uses multivariate regression analysis is combined with fuzzy set theory to model the correlation between consumer-perceived product quality attributes and ...
H.P. Kao +3 more
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