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This book provides a timely overview of topics in fuzzy mathematics. It lays the foundation for further research and applications in a broad range of areas. It contains break-through analysis on how results from the many variations and extensions of fuzzy set theory can be obtained from known results of traditional fuzzy set theory. The book contains not only theoretical results, but a wide range of applications in areas such as decision analysis, optimal allocation in possibilistics and mixed models, pattern classification, credibility measures, algorithms for modeling uncertain data, and numerical methods for solving fuzzy linear systems.The book offers an excellent reference for advanced undergraduate and graduate students in applied and theoretical fuzzy mathematics. Researchers and referees in fuzzy set theory will find the book to be of extreme value.
fuzzy set theory --- fuzzy semigroups --- nilpotent fuzzy groups, fuzzy topological spaces --- fuzzy decision making --- pattern classi.cation --- intuitionistic fuzzy sets --- neutrosophic fuzzy sets --- credibility measure --- fuzzy linear systems --- lattice isomorphism --- possibilistic models, fuzzy BCK/BCI algebras, hypergraphs, N-hyper sets
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In order to measure and quantify the complex behavior of real-world systems, either novel mathematical approaches or modifications of classical ones are required to precisely predict, monitor, and control complicated chaotic and stochastic processes. Though the term of entropy comes from Greek and emphasizes its analogy to energy, today, it has wandered to different branches of pure and applied sciences and is understood in a rather rough way, with emphasis placed on the transition from regular to chaotic states, stochastic and deterministic disorder, and uniform and non-uniform distribution or decay of diversity. This collection of papers addresses the notion of entropy in a very broad sense. The presented manuscripts follow from different branches of mathematical/physical sciences, natural/social sciences, and engineering-oriented sciences with emphasis placed on the complexity of dynamical systems. Topics like timing chaos and spatiotemporal chaos, bifurcation, synchronization and anti-synchronization, stability, lumped mass and continuous mechanical systems modeling, novel nonlinear phenomena, and resonances are discussed.
multi-time scale fractional stochastic differential equations --- fractional Brownian motion --- fractional stochastic partial differential equation --- analytical solution --- nonautonomous (autonomous) dynamical system --- topological entropy --- (asymptotical) focal entropy point --- disturbation --- m-dimensional manifold --- geometric nonlinearity --- Bernoulli–Euler beam --- colored noise --- noise induced transitions --- true chaos --- Lyapunov exponents --- wavelets --- Lyapunov exponents --- Wolf method --- Rosenstein method --- Kantz method --- neural network method --- method of synchronization --- Benettin method --- Fourier spectrum --- Gauss wavelets --- fractional calculus --- Adomian decomposition --- Mittag–Leffler function --- descriptor fractional linear systems --- regular pencils --- Schur factorization --- hyperchaotic system --- self-synchronous stream cipher --- permutation entropy --- image encryption --- wavelet transform --- product MV-algebra --- partition --- Tsallis entropy --- conditional Tsallis entropy --- dynamical system --- discrete chaos --- discrete fractional calculus --- hidden attractors --- approximate entropy --- stabilization --- Information transfer --- continuous flow --- discrete mapping --- Lorenz system --- Chua’s system --- deterministic chaos --- random number generator --- unbounded chaos --- bounded chaos --- phase-locked loop --- Gaussian white noise --- n/a
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The use of scientific computing tools is currently customary for solving problems at several complexity levels in Applied Sciences. The great need for reliable software in the scientific community conveys a continuous stimulus to develop new and better performing numerical methods that are able to grasp the particular features of the problem at hand. This has been the case for many different settings of numerical analysis, and this Special Issue aims at covering some important developments in various areas of application.
time fractional differential equations --- mixed-index problems --- analytical solution --- asymptotic stability --- conservative problems --- Hamiltonian problems --- energy-conserving methods --- Poisson problems --- Hamiltonian Boundary Value Methods --- HBVMs --- line integral methods --- constrained Hamiltonian problems --- Hamiltonian PDEs --- highly oscillatory problems --- boundary element method --- finite difference method --- floating strike Asian options --- continuous geometric average --- barrier options --- isogeometric analysis --- adaptive methods --- hierarchical splines --- THB-splines --- local refinement --- linear systems --- preconditioners --- Cholesky factorization --- limited memory --- Volterra integral equations --- Volterra integro–differential equations --- collocation methods --- multistep methods --- convergence --- B-spline --- optimal basis --- fractional derivative --- Galerkin method --- collocation method --- spectral (eigenvalue) and singular value distributions --- generalized locally Toeplitz sequences --- discretization of systems of differential equations --- higher-order finite element methods --- discontinuous Galerkin methods --- finite difference methods --- isogeometric analysis --- B-splines --- curl–curl operator --- time harmonic Maxwell’s equations and magnetostatic problems --- low rank completion --- matrix ODEs --- gradient system --- ordinary differential equations --- Runge–Kutta --- tree --- stump --- order --- elementary differential --- edge-histogram --- edge-preserving smoothing --- histogram specification --- initial value problems --- one-step methods --- Hermite–Obreshkov methods --- symplecticity --- B-splines --- BS methods --- hyperbolic partial differential equations --- high order discontinuous Galerkin finite element schemes --- shock waves and discontinuities --- vectorization and parallelization --- high performance computing --- generalized Schur algorithm --- null-space --- displacement rank --- structured matrices --- stochastic differential equations --- stochastic multistep methods --- stochastic Volterra integral equations --- mean-square stability --- asymptotic stability --- numerical analysis --- numerical methods --- scientific computing --- initial value problems --- one-step methods --- Hermite–Obreshkov methods --- symplecticity --- B-splines --- BS methods
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