Analysis and management of uncertainty: theory and applications
Topics in this book range from mathematical theories to probabilistic analysis of structures in civil engineering. Mathematical background is first covered including: probabilistic and possibilistic conceptualization of uncertainty, the algebraic structure of conditional reasoning, uncertainty modeling in anticipatory systems, reasoning by hypothesizing causal models, fuzzy sets and truth functionality. The second part deals with expert systems and neuronal structures and includes papers on expert appraisement and counter-appraisement with experton processes, the management of uncertainty, transferable belief models for expert judgement, fuzzy neural expert systems, and inverse dynamic adaptive control. Of particular interest is the last section which deals with applications in engineering. The articles presented here show just how far this field has progressed from theory to practice. They deal with such topics as the prediction of earthquake ground motion and structural responses, bridge ratings, safety and reliability evaluations of transmission lines, and transportation.
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Probabilistic Versus Possibilistic Conceptualization of Uncertainty
Induction and Uncertainty in Synergetic Computing Systems
Algebraic Structure of Conditional Reasoning
18 other sections not shown
1992 Elsevier Science algorithm Applications B.M. Ayyub assessment behavior belief function Boolean cable causal model cell group cognitive condition considered construction continuous failure control system corresponding crisp damage decision defined definition degree Dempster-Shafer theory developed dichotomous failure dynamics elements equation estimated evaluation example experton factors failure function failure level failure models Figure fuzzy controller fuzzy logic fuzzy number fuzzy relation fuzzy set theory fuzzy variables given Gupta and L.N. hyperedge hypergraph inference infrastructure input interval Klir L.N. Kanal Editors linguistic M.M. Gupta Management of Uncertainty mathematical measure membership function membership value method monte carlo method neuron objective obtained operations output parameters predicted probability distribution probability of failure probability theory problem proposed random variable reasoning reliability represents rough sets Science Publishers B.V. Shannon entropy shown simulation subset synaptic transferable belief model truth functionality union and intersection vagueness vector Zadeh