Uncertain Rule-Based Fuzzy Logic System". Mendel,J. M. . 2001JMMendel.UncertainRule-BasedFuzzyLogicSystems.. 2001J. Mendel (2001). Uncertain Rule-Based Fuzzy Logic Systems:Intr. And New Directions. NJ: Prentice-Hall.Mendel,J. M."Uncertain Rule-Based Fuzzy Logic System".. 2001...
M. 2001. Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions. Prentice Hall. 576 p. Jassbi, J.; Alavi, ... K Zeng,N Zhang,XU Wenli - 《Control Theory & Applications》 被引量: 164发表: 2001年 From computing with numbers to computing with words—from ...
基于不确定规则的模糊逻辑系统 : 导论与新方向 : Uncertain rule-based fuzzy logic systems : introduction and new directions The research field of fuzzy systems is based on the theory of fuzzy sets [78]. 门德尔张奇业,谢伟献 - 基于不确定规则的模糊逻辑系统 : 导论与新方向 : Uncertain rule-based ...
Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions Prentice Hall (2001) Google Scholar [28] Jerry M. Mendel Advances in Type-2 fuzzy sets and systems Inf. Sci., 177 (2007), pp. 84-110 View PDFView articleGoogle Scholar [29] Jerry M. Mendel, Feilong Liu Super-expo...
At the present time, the only deficiency in developing efficient realizations of general type-2 fuzzy logic systems are effective defuzzification procedures for general fuzzy valued fuzzy sets, since the common defuzzification procedures (like the exhaustive centroid method and theα-cut strategy) require...
Dempster's Rule of Combination and Its Related Modified Versions Are Used to Combine Independent Pieces of Evidence. Howev... A new fuzzy-belief K-nearest neighbor (FBK-NN) classifier is proposed based on evidential reasoning for dealing with uncertain data. In FBK-NN, each labeled sample is ...
M. Mendel, Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions. Upper Saddle River, NJ, USA: Prentice-Hall, 2001. [7] J. M. Mendel, “Advance in type-2 fuzzy sets and systems,” Inform. Sci., vol. 177, no. 1, pp. 84–110, Jan. 2007. [8] H. Wu and ...
thirdly a new saturation function for state constraints is proposed to design the controllers based on the Lyapunov function, fourthly the number of the adjustable parameters is reduced by using the simplified extended single input rule modules, and finally the weighted least squares estimator to take...
Robust adaptive fuzzy controller for non-affine nonlinear systems with dynamic rule activation This paper describes the design of a robust adaptive fuzzy controller for an uncertain single-input single-output nonlinear dynamical systems. While most r... JH Park,GT Park - 《International Journal of ...
Each uncertainty applicable property is then a default probabilistic logic rule, which is defeasible. In order to reduce the computational complexity of general probabilistic default reasoning, we propose to use Jeffrey's rule for a weaker notion of consistency and for local inference, then apply ...