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A continuous-time dynamic fuzzy system. (II). Fuzzy potentials
Fuzzy Sets and Systems, 2000This paper is devoted to fuzzy-number-valued functions on convex fuzzy sets. The author discusses fuzzy potentials in the continuous-time dynamic fuzzy system given in [Fuzzy Sets Syst. 113, 453-460 (2000; Zbl 0963.37010)]. Moreover, he gives a fuzzy relational differential equation to characterize the fuzzy potentials.
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Proceedings of 1995 IEEE International Conference on Fuzzy Systems. The International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium, 2002
Residual swing will often be generated in the overhead traveling crane drive by factors such as the delay and the friction of the machine even if it is controlled along the pattern. Therefore we have developed "KF dynamic fuzzy crane system" for automatic operation and put it to practical use.
O. Itoh, H. Migita, J. Itoh, Y. Irie
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Residual swing will often be generated in the overhead traveling crane drive by factors such as the delay and the friction of the machine even if it is controlled along the pattern. Therefore we have developed "KF dynamic fuzzy crane system" for automatic operation and put it to practical use.
O. Itoh, H. Migita, J. Itoh, Y. Irie
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Fuzzy Dynamic Programming Problem for Extremal Fuzzy Dynamic System
2010This work deals with the problems of the Expremal Fuzzy Continuous Dynamic System (EFCDS) optimization problems and briefly discuss the results developed by G. Sirbiladze [31]–[38]. The basic properties of extended extremal fuzzy measure are considered and several variants of their representation are given.
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Fuzzy System Dynamics of Manpower Systems
2014Manpower recruitment and training in uncertain and turbulent environments is a challenge to decision makers in large organizations. In the absence of numerical precision on market growth and the ensuing manpower demand, designing manpower planning policies is vital. Often times, companies incur losses due to overstaffing and/or understaffing.
Michael Mutingi, Charles Mbohwa
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Systems dynamics with fuzzy logic
International Journal of Systems Science, 1990Systems dynamics has been used to model and simulate a variety of environments, e.g. economic, social and political, which require quantification or some types of human behaviour. The lack of empirical verification of the relationships in the systems dynamics models has often been criticised.
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Selective dynamic fuzzy neural system
IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339), 2003Fuzzy neural fusion technology has solved many problems and been applied in different various ways. It can produce both learning ability and uncertain knowledge processing ability. However, for a more powerful intelligent system, it is necessary to consider the human selective recognition dynamic processing and the hierarchical structure of knowledge ...
null Jeong Yon Shim +1 more
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Fuzzy dynamic system and fuzzy linguistic controller classification
Automatica, 1994Abstract This paper presents the classification of fuzzy dynamic systems and fuzzy linguistic controllers into standard types (TYPE 1 through TYPE 7). The need and utility value behind this classification are given. Hopefully, this classification will lead to new designs and improve the performance of control systems.
Wang, Paul P., Tyan, Ching-Yu
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Fuzzy dynamical systems—inverse and direct spectra
Fuzzy Sets and Systems, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Srivastava, Pramila +2 more
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Sliding Mode Control of Fuzzy Dynamic Systems
2006 9th International Conference on Control, Automation, Robotics and Vision, 2006In this paper, a sliding mode control scheme is developed for a class of complex nonlinear systems with their T-S fuzzy models. It is shown that a set of extreme fuzzy subsystems are first derived, and a constructive sliding mode control law is then developed to guarantee the stability of the closed-loop fuzzy system.
Khoo, Suiyang +2 more
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Dynamic Neural Fuzzy Inference System
2009This paper proposes an extension to the original offline version of DENFIS. The new algorithm, DyNFIS, replaces original triangular membership function with Gaussian membership function and use back-propagation to further optimizes the model. Fuzzy rules are created for each clustering centre based on the clustering outcome of evolving clustering ...
Yuan-Chun Hwang, Qun Song
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