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General Remarks on Robust Solutions |
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1 | (10) |
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7 | (4) |
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Part I Modeling of Uncertainty and Probabilistic Issues |
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On Joint Modelling of Random Uncertainty and Fuzzy Imprecision |
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11 | (28) |
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11 | (2) |
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Generalizations of Classical Probability and Their Applications in Decision Making |
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13 | (9) |
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Measures of Uncertainty and Criteria of Their Evaluation |
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13 | (2) |
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15 | (2) |
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Dempster-Shafer Theory of Evidence and Possibility Theory |
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17 | (3) |
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Imprecise Probabilities and Their Generalizations |
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20 | (2) |
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Fuzzy Random Variables and Fuzzy Statistics |
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22 | (7) |
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Applications of Fuzzy Statistics in Systems Analysis |
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29 | (4) |
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Verification of the Kyoto Protocol |
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29 | (2) |
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Sequential Testing of a Hypothesis About the Mean Value in the Normal Distribution |
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31 | (2) |
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33 | (2) |
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35 | (4) |
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On the Approximation of a Discrete Multivariate Probability Distribution Using the New Concept of t-Cherry Junction Tree |
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39 | (20) |
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39 | (1) |
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40 | (3) |
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40 | (1) |
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Cherry Tree and t-Cherry Tree |
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41 | (1) |
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42 | (1) |
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43 | (7) |
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Construction of a t-Cherry-Junction Tree |
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43 | (1) |
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The Approximation of the Joint Distribution Over X by the Distribution Associated to a t-Cherry-Junction Tree |
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44 | (3) |
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The Relation Between the Approximations Associated to the First-Order Dependence Tree and t-Cherry-Junction Tree |
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47 | (3) |
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Some Practical Results of Our Approximation and Discussions |
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50 | (6) |
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56 | (3) |
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Part II Robust Solutions Under Uncertainty |
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Induced Discounting and Risk Management |
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59 | (20) |
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59 | (3) |
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Standard and Stopping Time Induced Discounting |
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62 | (3) |
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Time Declining Discount Rates |
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65 | (3) |
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68 | (3) |
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Dynamic Risk Profiles and CVaR Risk Measure |
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71 | (2) |
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Intertemporal Inconsistency |
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73 | (2) |
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75 | (1) |
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76 | (3) |
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Cost Effective and Environmentally Safe Emission Trading Under Uncertainty |
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79 | (22) |
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79 | (3) |
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Uncertainties and Trends of Carbon Fluxes |
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82 | (2) |
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Detectability of Emission Changes |
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84 | (2) |
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Trade Equilibrium Under Uncertainty |
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86 | (4) |
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Dynamic Bilateral Trading Processes |
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90 | (2) |
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Computerized Multi-agent Decentralized Trading System |
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92 | (1) |
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93 | (3) |
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96 | (1) |
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97 | (4) |
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Robust Design of Networks Under Risks |
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101 | (40) |
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101 | (3) |
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Cooperative Provision of Advanced Mobile Data Services |
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104 | (2) |
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Simplified Model of the Service Portfolio |
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106 | (7) |
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106 | (2) |
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108 | (2) |
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Service Portfolio: Financial Perspective |
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110 | (3) |
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Modeling of Collaborative Service Provision |
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113 | (5) |
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Service Provision Capacities |
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114 | (1) |
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Risk/Return Industrial Expectations |
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115 | (1) |
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116 | (1) |
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116 | (2) |
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Properties of the Models and Implementation Issues |
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118 | (1) |
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119 | (3) |
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122 | (14) |
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Simplified Model: Direct and Indirect Interdependencies |
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123 | (2) |
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125 | (5) |
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Bayesian Networks and Markov Fields |
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130 | (1) |
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131 | (2) |
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General Interdependencies |
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133 | (3) |
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136 | (1) |
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136 | (5) |
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Part III Analysis and Optimization of Technical Systems and Structures Under Uncertainty |
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Optimal Ellipsoidal Estimates of Uncertain Systems: An Overview and New Results |
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141 | (22) |
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141 | (1) |
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142 | (3) |
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145 | (1) |
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146 | (2) |
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148 | (2) |
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Transformation of the Equations |
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150 | (2) |
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Properties of Optimal Ellipsoids |
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152 | (1) |
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153 | (1) |
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154 | (5) |
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Two-Sided Estimates in Optimal Control |
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154 | (1) |
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Two-Sided Bounds on Time for the Time-Optimal Problem |
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155 | (1) |
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155 | (1) |
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156 | (1) |
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Control of Uncertain Systems |
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157 | (1) |
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157 | (1) |
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State Estimation in the Presence of Observation Errors |
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158 | (1) |
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Ellipsoidal vs. Interval Analysis |
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159 | (1) |
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160 | (1) |
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160 | (3) |
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Expected Total Cost Minimum Design of Plane Frames by Means of Stochastic Linear Programming Methods |
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163 | (32) |
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164 | (4) |
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Plastic Analysis of Structures |
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164 | (1) |
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Limit (Collapse) Load Analysis of Structures as a Linear Programming Problem |
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165 | (2) |
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Plastic and Elastic Design of Structures |
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167 | (1) |
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168 | (15) |
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Yield Condition in Case of M - N - Interaction |
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173 | (7) |
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Approximation of the Yield Condition by Using Reference Capacities |
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180 | (3) |
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183 | (8) |
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Violation of the Yield Condition |
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184 | (1) |
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185 | (1) |
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Choice of the Cost Factors |
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186 | (1) |
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187 | (2) |
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189 | (1) |
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190 | (1) |
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191 | (4) |
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Part IV Analysis and Optimization of Economic and Engineering Systems Under Uncertainty |
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Uncertainty in the Future Nitrogen Load to the Baltic Sea Due to Uncertain Meteorological Conditions |
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195 | (14) |
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195 | (3) |
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198 | (3) |
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National Emission Ceilings According to EU NEC Directive |
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198 | (1) |
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National Emission Ceilings According to Gothenburg Protocol |
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199 | (1) |
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Nitrogen Emission Projections Used in the Model Runs |
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200 | (1) |
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Computed Nitrogen Depositions for 2010 |
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201 | (2) |
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202 | (1) |
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Calculated Depositions to Sub-basins and Catchments of the Baltic Sea |
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203 | (1) |
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Uncertainty Due to Meteorological Variability |
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203 | (4) |
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207 | (1) |
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207 | (2) |
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Planning Sustainable Agricultural Development Under Risks |
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209 | (20) |
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209 | (2) |
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Cooperation and Co-existence for Risk Sharing |
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211 | (3) |
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Agricultural Planning Under Risks |
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214 | (4) |
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214 | (2) |
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A Simplified Production Model |
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216 | (1) |
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A Rebalancing Production-Allocation Algorithm |
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217 | (1) |
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Stochastic Production Allocation Model |
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218 | (3) |
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221 | (4) |
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225 | (1) |
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226 | (3) |
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Dealing with Uncertainty in GHG Inventories: How to Go About It? |
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229 | (18) |
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230 | (2) |
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232 | (1) |
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State of the Art of Analyzing Uncertain Emission Changes |
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233 | (5) |
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How to Deal with Uncertainty? |
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238 | (3) |
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241 | (1) |
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242 | (5) |
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Uncertainty Analysis of Weather Controlled Systems |
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247 | (12) |
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247 | (2) |
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249 | (3) |
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249 | (1) |
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249 | (1) |
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250 | (1) |
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Receding Horizon Optimal Control |
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250 | (2) |
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Weather Forecast Uncertainty and Error Analysis |
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252 | (4) |
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252 | (2) |
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254 | (2) |
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256 | (1) |
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257 | (1) |
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257 | (2) |
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Estimation of the Error in Carbon Dioxide Column Abundances |
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259 | (17) |
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259 | (2) |
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Trace Gas Measurement by Satellite Remote Sensing |
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261 | (5) |
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Observations of Trace Gases with Various Sensors |
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261 | (1) |
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262 | (2) |
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264 | (2) |
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Error Evaluation and Results |
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266 | (10) |
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266 | (2) |
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268 | (2) |
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270 | (6) |
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276 | (1) |
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276 | |