Uncertainty modelling and analysis : theory and applications

Part 1 Uncertainty Models and Measures: The many faces of uncertainty (G.J. Klir). Linguistic connectives and second order semantic uncertainty (I.B. Turksen). Completing orderings using the principle of maximal buoyancy (R.R. Yager). Maximally uncertain evidence (A. Ramer, C. Padet). Uncertainties in the analysis of large-scale systems (V. Perincherry, S. Kikuchi, Y Hamamatsu). Inductive Learning of membership functions and fuzzy rules (M. Sebag, M. Schoenauer). Coordination and control of nonlinear multivariable systems with parametric and structural uncertainties using a dynamic neural network (D.H. Rao, M.M. Gupta). Possibilistic and necessistic reliability functions - fundamental concepts and theorems to represent non-probabilistic uncertainty in reliability theory (B. Cappelle, E.E. Kerre). A new safety factor based on convex modelling (I. Elishakoff). An order-theoretic approach to the measuring of fuzziness (B. De Baets, E.E- Kerre). Part 2 Applications to Engineering Systems: The nature of uncertainty in structural engineering (B.M. Ayyub). Uncertainty irrelevance and preferences over ambiguity in expected utility decision-making (V.M. Bier). A decision-making model under uncertainty applied to managing risk (K. Engemann, H. Miller, R. Yager). Applying fuzzy decision theory to deal with the uncertainty in military command and control process (X.-S. Luo). System life cycle analysis and assessment under uncertainty (O.A. Asbjornsen). Multi-attribute fuzzy control of construction activities (M.H.M. Hassan, B.M. Ayyub). Modelling uncertainty in construction simulation (S.M. AbouRizk, D.W Halpin, A. Sawhney). Project scheduling of bridge construction by fuzzy PERT (Y. Natsuaki, H. Furuta, K. Muto, H. Ninoniya). Finite element-based structural identification under uncertainty (D. Wang, A. Haldar). Fuzzy optimal seismic control system of buildings - uncertainties in prediction of earthquake input, structural identification and optimization (A. Tani, H. Kawamura). Aesthetic design of bridges by neural network and expert system (K. Yasuda, H. Furuta, H. Yamanishi). Fuzzy expert system for dimensioning superstructures of steel bridges (K. Nukatani, K. Yasuda, L.H. Ichinose, H. Furuta). A method of empirical knowledge acquisition for a serviceability rating system on existing bridges (M. Kushida, T Tokuyama, A. Miyamoto). Optimum cable tension adjustment based upon fuzzy mathematical programming (H. Furuta, M. Kamei, M. Kaneyoshi, H. Tanaka). Quantification of Bridge Pier Scour uncertainty (P.A. Johnson). Treatment of uncertainty in a fuzzy logic expert system for damage assessment of transmission structures (I. Hathout). Fuzzy modelling for designing product of consumer-perceived quality (H.-P. Kao, D.L. Kimbler, C.-H. Juang, W.C. Bridges). Signal detection models incorporating uncertainty: sensitivity to parameter estimates (J.R. Boston). (Part contents).

[1]  William Feller,et al.  An Introduction to Probability Theory and Its Applications , 1967 .

[2]  A. H. Murphy,et al.  Reliability of Subjective Probability Forecasts of Precipitation and Temperature , 1977 .

[3]  B. Fischhoff,et al.  Assessing uncertainty in physical constants , 1986 .

[4]  R. Cooke.  Experts in Uncertainty: Opinion and Subjective Probability in Science , 1991 .

[5]  A R Feinstein,et al.  Scientific standards in epidemiologic studies of the menace of daily life. , 1988, Science.

[6]  J R Macdonald.  Are the data worth owning? , 1972, Science.

[7]  B. Fischhoff,et al.  Calibration of probabilities: the state of the art to 1980 , 1982 .

[8]  W. H. Williams,et al.  A Simple Method for the Construction of Empirical Confidence Limits for Economic Forecasts , 1971 .

[9]  E. Seymann,et al.  Neutron scattering lengths: A survey of experimental data and methods , 1991 .

[10]  A. I. Shlyakhter,et al.  Non-Gaussian uncertainty distributions: historical trends and forecasts of the United States energy sector, 1983-2010 , 1993, 1993 (2nd) International Symposium on Uncertainty Modeling and Analysis.

[11]  Max Henrion,et al.  Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis , 1990 .

[12]  E. Fama,et al.  Some Properties of Symmetric Stable Distributions , 1968 .

[13]  B. Fischhoff,et al.  Training for calibration. , 1980 .

[14]  Johannes Oerlemans,et al.  A projection of future sea level , 1989 .

[15]  M A Stoto,et al.  The accuracy of population projections. , 1983, Journal of the American Statistical Association.

[16]  L. G. Parratt,et al.  Probability and Experimental Errors in Science , 1973 .

[17]  E. Fama,et al.  Parameter Estimates for Symmetric Stable Distributions , 1971 .

[18]  A. I. Shlyakhter,et al.  Uncertainties in modeling low probability/high consequence events: application to population projections and models of sea-level rise , 1993, 1993 (2nd) International Symposium on Uncertainty Modeling and Analysis.

[19]  Daniel M. Kammen,et al.  Sea-level rise or fall? , 1992, Nature.