General Remarks on Robust Solutions -- Modeling of Uncertainty and Probabilistic Issues -- On Joint Modelling of Random Uncertainty and Fuzzy Imprecision -- On the Approximation of a Discrete Multivariate Probability Distribution Using the New Concept of -Cherry Junction Tree -- Robust Solutions...

Many decision problems in Operations Research are defined on temporal networks, that is, workflows of time-consuming tasks whose processing order is constrained by precedence relations. For example, temporal networks are used to model projects, computer applications, digital circuits and...

Dieses essential erklärt grundlegend das betriebliche Gestaltungsfeld Bestandsmanagement und führt die relevanten Begriffe und Formeln ein. Stochastisches Bestandsmanagement beschäftigt sich mit Antworten auf die Fragen, wann Produktbestellungen aufgegeben werden sollen und wie viel auf...

Preface -- List of Main Symbols -- Introduction -- Literature Overview -- Customers demand forecasting dynamic equation models and weight distribution method of combination prediction -- Strategic alliance model for supply chain with parameters -- Model and algorithm of decentralized control...

Preface -- 1 Introduction -- 2 Decision Theory Elements -- 3 Utility Function -- 4 State-Contingent Outcome and Preference -- 5 Preferences and Subjective Probabilities -- 6 Formulation of the Decision Problem -- 7 Connections Between Input and State-Contingent Output -- 8 Optimising Production...

Managing safety of diverse systems requires decision-making under uncertainties and risks. Such systems are typically characterized by spatio-temporal heterogeneities, inter-dependencies, externalities, endogenous risks, discontinuities, irreversibility, practically irreducible uncertainties,...

The scope of this volume is primarily to analyze from different methodological perspectives similar valuation and optimization problems arising in financial applications, aimed at facilitating a theoretical and computational integration between methods largely regarded as alternatives....

Risk: Is There a Unique Objective Measure? -- Expected Utility Theory -- Stochastic Dominance Decision Rules -- Stochastic Dominance: The Quantile Approach -- Algorithms for Stochastic Dominance -- Stochastic Dominance with Specific Distributions -- Almost Stochastic Dominance (ASD) --...

This book is devoted to investment decision-making under uncertainty. The book covers three basic approaches to this process: the stochastic dominance approach; the mean-variance approach; and the non-expected utility approach, focusing on prospect theory and its modified version, cumulative...

The author presents the theory of portfolio choice from a new perspective, recommending decision rules that have advantages over those currently used in theory and practice. Portfolio choice theory relies on expected values. Goodall argues that this dependence has a historical basis and argues...