Aspiration Based Decision Support Systems: Theory, Software and ApplicationsAndrzej Lewandowski, Andrzej P. Wierzbicki It is not easy to summarize -even in a volume -the results of a scientific study con ducted by circa 30 researchers, in four different research institutions, though cooperating between them and jointly with the International Institute for Applied Systems Analysis, but working part-time, sponsored not only by IIASA's national currency funds, but also by several other research grants in Poland. The aims of this cooperative study were de fined broadly by its title Theory, Software and Testing Examples for Decision Support Systems. The focusing theme was the methodology of decision analysis and support related to the principle of reference point optimization (developed by the editors of this volume and called also variously: aspiration-led decision support, quasi-satisfying framework of rationality, DIDAS methodology etc. ). This focusing theme motivated extensive theoretical research - from basic methodological issues of decision analysis, through various results in mathematical programming (in the fields of large scale and stochastic optimization, nondifferentiable optimization, cooperative game theory) mo tivated and needed because of this theme, through methodological issues related to software development to issues resulting from testing and applications. We could not include in this volume all papers -theoretical, methodological, appiied, software manu als and documentation -written during this cooperative study. |
Contents
Decision Support Systems of DIDAS Family | 21 |
Modern Techniques for Linear Dynamic | 48 |
A Sensitivity Method for Solving Multistage 8892 | 68 |
Dynamic Aspects of Multiobjective Trajectory Optimization | 92 |
Mathematical Programming Package HYBRID | 106 |
Safety Principle in Multiobjective Decision Support | 145 |
Nonlinear Optimization Techniques | 158 |
Nonlinear Computer Models | 172 |
A Generalized Reference Point Approach | 213 |
Solving Multiobjective Distribution | 230 |
Towards Interactive Solutions in a Bargaining Problem | 251 |
Experience in Theory Software and Application 271 | 270 |
Basic Model of an Industrial Structure | 287 |
Hierarchical Multiobjective Approach | 310 |
Architecture and Functionality of MIDA | 339 |
IACDIDASL A Dynamic Interactive Decision Analysis | 373 |
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Common terms and phrases
achievement function algorithm alternatives applications Applied Systems Analysis approach approximation arcs aspiration levels assumed augmented Lagrangian Austria basic calculated chemical industry coefficients column constraints corresponding cost criteria database Decision Analysis decision maker decision problem decision situation decision support systems decomposition defined denotes DIDAS DINAS Dobrowolski dynamic efficient outcomes efficient solutions equations evaluation formulation Grauer health-care centers HYBRID IIASA implementation input Institute for Applied investment iteration Kiwiel Kreglewski Laxenburg Lewandowski linear programming Mathematical Programming matrix maximized methodology MIDA minimized multicriteria multiobjective optimization nondominated nonlinear programming objective functions objective outcomes option package parameters Pareto optimal players potential nodes production programming problem reference point regularized decomposition rows satisficing selected simplex method solving Sopron specific trajectory upper bounds utopia point values vector Warsaw University Wierzbicki Zebrowski