Recent Advances in Intuitionistic Fuzzy Logic Systems and Mathematics

Häftad, Engelska, 2021

Del 395 i serien Studies in Fuzziness and Soft Computing

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Beskrivning

Covering topics such as fuzzy intuitionistic Hilbert spaces, intuitionistic fuzzy differential equations, fuzzy intuitionistic metric spaces, and numerical methods for differential equations, it discusses applications such as fuzzy real-time scheduling, intelligent control, diagnostics and time series prediction.

Produktinformation

Utgivningsdatum:2021-10-14
Mått:155 x 235 x 17 mm
Vikt:452 g
Format:Häftad
Språk:Engelska
Serie:Studies in Fuzziness and Soft Computing
Antal sidor:285
Förlag:Springer Nature Switzerland AG
ISBN:9783030539313

Utforska kategorier

Artificiell intelligens inom Data och IT

Innehållsförteckning

Chapter 1: Fuzzy semigroups and fuzzy nonlinear evolution equations.- Chapter 2: On Fuzzy localized subring.- Chapter 3: Coupled system of nonlinear fuzzy Volterra-Urysohn integral equations.- Chapter 4: Optimal bounded control on the velocity term of a bilinear plate equation.- Chapter 5: Numerical Solution Of Intuitionistic Fuzzy Differential Equations By Runge-Kutta Verner Method.- Chapter 6: Fuzzy Hidden Markov Model in Images Segmentation.- Chapter 7: Solving the intuitionistic fuzzy fractional partial differential equations.- Chapter 8: Using Machine Learning with PySpark and MLib for Solving a Binary Classiﬁcation Problem: Case of Searching for exotic particles.- Chapter 9: On some results of fuzzy super-connected space.- Chapter 10: Regional optimal control problem of a heat equation with bilinear boundary controls.- Chapter 11: Fuzzy equations for mixed convection in a rectangular cavity.- Chapter 12: Likelihood and Decoding in a Partially Hidden Markov Model.- Chapter 13: Solution of ﬁrst order linear intuitionistic fuzzy differential equations by the variation of constants formula.- Chapter 14: A secure variant of the Fiat and Shamir authentication protocol using Gaussian integers.- Chapter 15: Resolution of a system of the max-product fuzzy relation equations using B◦Bt-factorization.