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This book deals with uncertainty forecasting based on a fuzzy time series approach, including fuzzy random processes and artificial neural networks. A consideration of data and measurement uncertainty enhances forecasting in a wide range of applications, particularly in the fields of engineering, environmental science and civil engineering. Uncertain data are described by means of a new incremental fuzzy representation which permits a complete and accurate estimation of uncertainty. The book is aimed at engineers as well as professionals working in related fields. Descriptive, modeling and forecasting methods pertaining to fuzzy time series are introduced and explained in detail. Emphasis is placed on forecasting with the aid of fuzzy random processes, such as fuzzy ARMA processes and fuzzy white-noise processes, as well as forecasting based on artificial neural networks. All numerical algorithms are comprehensively described and demonstrated by way of practical examples.
Engineering --- Uncertainty. --- Fuzzy mathematics. --- Mathematical models. --- Mathematics --- Reasoning --- Statistics. --- Mechanics, applied. --- Distribution (Probability theory. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Theoretical and Applied Mechanics. --- Monitoring/Environmental Analysis. --- Building Construction and Design. --- Probability Theory and Stochastic Processes. --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Applied mechanics --- Engineering, Mechanical --- Engineering mathematics --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Statistics . --- Mechanics. --- Mechanics, Applied. --- Environmental monitoring. --- Buildings—Design and construction. --- Building. --- Construction. --- Engineering, Architectural. --- Probabilities. --- Biomonitoring (Ecology) --- Ecological monitoring --- Environmental quality --- Monitoring, Environmental --- Applied ecology --- Environmental engineering --- Pollution --- Classical mechanics --- Newtonian mechanics --- Physics --- Dynamics --- Quantum theory --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk --- Architectural engineering --- Buildings --- Construction --- Construction science --- Engineering, Architectural --- Structural design --- Structural engineering --- Architecture --- Construction industry --- Measurement --- Monitoring --- Design and construction --- Architecture. --- Engineering. --- Industrial arts --- Technology --- Architecture, Western (Western countries) --- Building design --- Western architecture (Western countries) --- Art --- Building --- Architecture, Primitive
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This book, for the first time, provides a coherent, overall concept for taking account of uncertainty in the analysis, the safety assessment, and the design of structures. The reader is introduced to the problem of uncertainty modeling and familiarized with particular uncertainty models. For simultaneously considering stochastic and non-stochastic uncertainty the superordinated uncertainty model fuzzy randomness, which contains real valued random variables as well as fuzzy variables as special cases, is presented. For this purpose basic mathematical knowledge concerning the fuzzy set theory and the theory of fuzzy random variables is imparted. The body of the book comprises the appropriate quantification of uncertain structural parameters, the fuzzy and fuzzy probabilistic structural analysis, the fuzzy probabilistic safety assessment, and the fuzzy cluster structural design. The completely new algorithms are described in detail and illustrated by way of demonstrative examples.
Engineering --- Risk management. --- Fuzzy logic. --- Ingénierie --- Gestion du risque --- Logique floue --- Management. --- Gestion --- Ingénierie --- Fuzzy logic --- Risk management --- Insurance --- Management --- Nonlinear logic --- Fuzzy mathematics --- Logic, Symbolic and mathematical --- Fuzzy systems --- Civil engineering --- Structural engineering --- Probabilities. --- Mechanics. --- Mechanics, Applied. --- Computational intelligence. --- Statistics . --- Buildings—Design and construction. --- Building. --- Construction. --- Engineering, Architectural. --- Probability Theory and Stochastic Processes. --- Theoretical and Applied Mechanics. --- Computational Intelligence. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Building Construction and Design. --- Architectural engineering --- Buildings --- Construction --- Construction science --- Engineering, Architectural --- Structural design --- Architecture --- Construction industry --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Applied mechanics --- Engineering, Mechanical --- Engineering mathematics --- Classical mechanics --- Newtonian mechanics --- Physics --- Dynamics --- Quantum theory --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk --- Design and construction
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Engineering --- Fuzzy mathematics. --- Uncertainty. --- Mathematical models.
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Operational research. Game theory --- Classical mechanics. Field theory --- Statistical physics --- Engineering sciences. Technology --- Computer. Automation --- Building materials. Building technology --- Heating, climatisation, ventilation and air conditioning --- statistische kwaliteitscontrole --- industriële statistieken --- toegepaste mechanica --- stochastische analyse --- airconditioning --- algoritmen --- kansrekening --- mechanica --- HVAC (heating ventilation airconditioning) --- numerieke analyse
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