Results 161 to 170 of about 6,479 (185)

Leanness assessment and optimization by fuzzy cognitive map and multivariate analysis

Expert Systems with Applications, 2015
A new method to assess and optimize organizational leanness.Standard leanness measures from the body of the literature.Fuzzy cognitive map and multivariate analysis are used for evaluation.A number of packing and printing organizations are studied.The proposed analogy helps managers to assess the leanness. The strategy of organizational lean production
Ali Azadeh, Mansour Zarrin, Mohammad Abdollahi, Saeid Noury, Shabnam Farahmand   +4 more
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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), 1998
We 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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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), 2002
Presents 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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Stability analysis and synthesis of multivariable fuzzy systems using interval arithmetic

Fuzzy Sets and Systems, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Andújar, José M., Bravo, J. M., Peregrín, A.   +2 more
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Evaluation of multivariate transductive neuro-fuzzy inference system for multivariate time-series analysis and modelling

Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology, 2020
Multivariate Transductive Neuro-Fuzzy Inference System model, named the mTNFI is a previously proposed conceptual transductive approach designed for analysis and modelling of multivariate time-series data. In this study, we revisit, implement and evaluate the mTNFI model potential for patterns of relationship extraction from a collection of ...
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Exploring series of multivariate censored temporal data through fuzzy coding and correspondence analysis

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
openaire   +3 more sources

Fuzzy indirect adaptive control and robustness analysis for unknown multivariable nonlinear systems

Proceedings of 6th International Fuzzy Systems Conference, 2002
In 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, null Li Qingguo, null Chai Tianyou   +2 more
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Interpreting patterns and analysis of acute leukemia gene expression data by multivariate fuzzy statistical analysis

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 ...
Yoo, CK, Lee, IB, Vanrolleghem, PA
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On Multivariate Fuzzy Time Series Analysis and Forecasting

2002
In 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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Fuzzy-valued and complex-valued time series analysis using multivariate and complex extensions to singular spectrum analysis

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2015
This paper provides evidence for the effectiveness of two extensions of Singular Spectrum Analysis, Complex SSA (CSSA) and Multivariate SSA (MSSA), when performing tasks such as smoothing, change point detection and forecasting of time series. CSSA is well suited for bivariate time series (usually displaying co-movements) and interval-valued time ...
Vasile Georgescu, Sorin-Manuel Delureanu
openaire   +1 more source