Aspiration based decision support systems : theory, software, and applications

書誌事項

Aspiration based decision support systems : theory, software, and applications

A. Lewandowski, A.P. Wierzbicki (eds.)

(Lecture notes in economics and mathematical systems, 331)

Springer-Verlag, c1989

  • : gw
  • : us

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注記

Includes bibliographical references

内容説明・目次

内容説明

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.

目次

1: Theory and Methodology.- Decision Support Systems Using Reference Point Optimization.- Decision Support Systems of DIDAS Family (Dynamic Interactive Decision Analysis & Support).- Modern Techniques for Linear Dynamic and Stochastic Programs.- A Sensitivity Method for Solving Multistage Stochastic Linear Programming Problems.- Regularized Decomposition and Augmented Lagrangian Decomposition for Angular Linear Programming Problems.- Dynamic Aspects of Multiobjective Trajectory Optimization in Decision Support Systems.- Mathematical Programming Package HYBRID.- Safety Principle in Multiobjective Decision Support in the Decision Space Defined by Availability of Resources.- Nonlinear Optimization Techniques in Decision Support Systems.- Nonlinear Computer Models - Issues of Generation and Differentiation.- Issues of Effectiveness Arising in the Design of a System of Nondifferentiable Optimization Algorithms.- A Methodological Guide to the Decision Support System DISCRET for Discrete Alternatives Problems.- A Generalized Reference Point Approach to Multiobjective Transshipment Problem with Facility Location.- Solving Multiobjective Distribution-Location Problems with the DINAS System.- Towards Interactive Solutions in a Bargaining Problem.- 2: Applications and Experiences.- MIDA: Experience in Theory, Software and Application of DSS in the Chemical Industry.- Basic Model of an Industrial Structure.- Multiobjective Evaluation of Industrial Structures.- Hierarchical Multiobjective Approach to a Programming Problem.- Spatial Allocation and Investment Scheduling in the Development Programming.- Architecture and Functionality of MIDA.- 3. Short Software Descriptions.- IAC-DIDAS-L - A Dynamic Interactive Decision Analysis and Support System for Multicriteria Analysis of Linear and Dynamic Linear Models on Professional Microcomputers.- HYBRID - A Mathematical Programming Package.- IAC-DIDAS-N - A Dynamic Interactive Decision Analysis and Support System for Multicriteria Analysis of Nonlinear Models.- DISCRET - An Interactive Decision Support System for Discrete Alternatives Multicriteria Problems.- DINAS - Dynamic Interactive Network Analysis System.- MCBARG - A System Supporting Multicriteria Bargaining.- POSTAN 3 and PLP - Extension of MINOS for Postoptimal Analysis.

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