Methodology and software for interactive decision support. Proceedings of the international workshop, held in Albena, Bulgaria, October 19-23, 1987 (Q1202110)

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scientific article; zbMATH DE number 108219
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Methodology and software for interactive decision support. Proceedings of the international workshop, held in Albena, Bulgaria, October 19-23, 1987
scientific article; zbMATH DE number 108219

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    Methodology and software for interactive decision support. Proceedings of the international workshop, held in Albena, Bulgaria, October 19-23, 1987 (English)
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    23 January 1993
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    [The articles of this volume will not be indexed individually.] From the preface: In the first section, `Theory and Algorithms for Multiple Criteria Optimization', new theoretical developments in multiple criteria optimization are presented. Tanino presents new approach for application of multiple objective optimization in hierarchical systems, Wierzbicki discusses the relation between simulation and gaming for conflict resolution as well as proposes the interactive framework for supporting this kind of decision problems. The other group of papers addresses purely theoretical questions --- Nakayama presents recent developments in sensitivity and trade-offs analysis in multiobjective programming, Ramesh and others discuss the degeneracy problem. Finally, several papers are more algorithmic oriented --- like paper by Katoh with presentation of new algorithms for bicriteria combinatorial optimization or the paper presenting the reachable set approach by Lotov. Finally, Steuer presents the current state-of-the art in the interactive multiple criteria optimization. In the second section, `Theory, Methodology and Software for Decision Support Systems', the principles of building decision support systems are presented as well as software tools constituting the building components of such systems. Moreover, several papers are devoted to the general methodology of building such systems or present experimental design of systems supporting certain class of decision problems. For example, paper by Makowski presents the HYBRID system for solving dynamic linear multiple criteria problems using the aspiration level paradigm. This system has been used as component of several practical implementations of DSS. Similar nature has the paper by Ogryczak, presenting a software system for solving multiple criteria problems for network analysis. In a more general paper, Nitchev discusses the relationship between DSS and knowledge based systems. Some other papers present the analysis of specific decision situations and discuss problems of development decision support systems supporting this specific classes of decision situations. Paper by Bronisz describing an experimental system for supporting multiple objective bargaining problems belongs to this category; the other is presented by Serafini and presents a decision support system for manufacturing management. Finally, some papers address more general problems, like software engineering principles in building the decision support systems --- this issue discussed by Stanchev. The third section addresses issues of `Applications of Decision Support Systems and Computer Implementations of Decision Support Systems'. The most substantial series of applications is presented in the paper by Danev, who describes the experience of using multiple criteria optimization and decision support system technology for supporting management problems in Bulgarian industry. Other papers address such problems like bank management (Langen), management of research and development problems (Petrovsky) or water systems management (Rathke). Another part of this section has a special character. Beside theoretical and methological papers, several practical implementations of software for decision support have been presented during the workshop. These software packages varied from very experimental and illustrative implementations of some theoretical concept to well developed and documented systems being currently commercially distributed and used for solving practical problems. Table of Contents: Part 1. Theory and algorithms for multiple criteria optimization. \textit{V. Borzenko}, Approximational approach to multicriteria problems, 2- 9; \textit{J. Ester}, About some applications of a special fuzzy-concept of efficiency in multicriteria decision-making, 10-19; \textit{H. Gorecki, A. M. Skulimowski}, Safety principle in multiobjective decision support in the decision space by availability of resources, 20-26; \textit{V. A. Gorelik}, Multicriteria game models and negotiation processes, 27-31; \textit{M. I. Gusev}, On the class of dynamic multicriteria problems in the design of experiments, 32-38; \textit{Zs. Harnos}, Methodology of hierarchical multiobjective optimization and its use in the planning of agricultural development, 39-46; \textit{N. Katoh}, Algorithm for bicriteria combinatorial optimization problems, 47-56; \textit{A. F. Kleimenov}, Dynamic control problems with many decision makers, 57-64; \textit{A. V. Lotov}, Generalized reachable sets method in multiple criteria problems, 65-73; \textit{L. Markova}, Analysis of methods for multicriterial estimation and choice for discrete problems with a finite set of alternatives, 74-80; \textit{B. Metev, B. Danev, G. Slavov}, Two-person finite games with nature participation and without messages about its choices, 81-85; \textit{H. Nakayama}, Sensitivity and trade-off analysis in multiobjective programming, 86-93; \textit{I. Popchev, B. Metev, L. Markova}, Choice of a subset with respect to many criteria, 94-98; \textit{R. Ramesh, M. H. Karwan, S. Zionts}, Degeneracy in efficiency testing in bicriteria integer programming, 99-106; \textit{R. E. Steuer}, Trends in interactive multiple objective programming, 107-119; \textit{T. Tanino, H. Satomi}, Optimization in hierarchical systems with multiple objectives, 120-128; \textit{A. P. Wierzbicki}, Towards interactive procedures in simulation and gaming: Implications for multiperson decision support, 129-139. Part 2. Theory, methodology and software for decision support systems. \textit{P. Bronisz, L. Krus, B. Lopuch}, An experimental system supporting multiobjective bargaining problem, 140-147; \textit{B. Dobrev}, Methodology for DSS and expert systems development using distributed data bases, 148- 153; \textit{R. Kaltinska}, A structure of the interactive optimization system, 154-162; \textit{P. Korhonen, J. Wallenius}, Observations regarding choice behaviour in interactive multiple criteria decision -- making environments: An experimental investigation, 163-170; \textit{M. Makowski, J. Sosnowski}, Solving dynamic multicriteria linear problems with HYBRID, 171-180; \textit{A. A. Marchev, M. R. Motzev}, Principles of multi-stage selection in software development in decision support systems, 181-189; \textit{V. Nitchev}, Some aspects of the integration between DSS and knowledge based systems, 190-194; \textit{W. Ogryczak, K. Studzinski, K. Zorychta}, Methodological background of the dynamic interactive network analysis system (DINAS), 195-201; \textit{P. Serafini, W. Ukovich}, A decision support system based on the job shop problem in real manufacturing, 202-210; \textit{C. Smutnicki}, DSS for project scheduling: A review of problems, 211-216; \textit{I. Stanchev}, Software engineering principles in the building of decision support systems, 217-226; \textit{B. Vachev, P. Tsvetanov, P. Yordanov, M. Ruicheva}, Procedure for multi- criterial multi-expert decision-making, 227-233; \textit{A. H. Vellekoop, C. G. E. Boender, A. H. G. Rinnooy Kan}, The design of interactive decision support systems, 234-243. Part 3a. Applications of decision support systems. \textit{B. Danev, I. Popchev, G. Slavov}, Real-life applications of multiple criteria decision making technology, 244-254; \textit{D. Langen}, A decision model for bank asset liability management via MCDM, 255-264; \textit{A. B. Petrovsky}, Decision support system for R{\&}D management problems, 265- 270; \textit{P. Rathke, R. Straubel, A. Wittmüs, A. Gnauck}, Multiobjective optimization in river water quality management by means of the DSS REH, 271-281. Part 3b. Computer implementation of decision support systems. \textit{B. Danev, G. Slavov, G. Boshnakov}, Interactive decision support system MICRO-MULCRE, 282-283; \textit{N. Dushkov, I. Stanchev}, Software system STRUCTURE, 284-285; \textit{E. Kelevedziev}, IOS --- Interactive optimization system, 286-287; \textit{P. Korhonen}, VIG --- A visual interactive approach to gaol programming, 288-289; \textit{T. Kreglewski, J. Paczynski, A. P. Wierzbicki}, IAC-DIDAS-N --- A version of nonlinear DIDAS for an IBM-PC computer, 290-291; \textit{J. Majchrzak}, DISCRET -- Package for multicriteria problems with discrete alternatives, 292-293; \textit{W. Ogryczak, K. Studzinski, K. Zorychta}, DINAS --- Dynamic interactive network analysis system, 294-295; \textit{J. Paczynski, T. Kreglewski}, Nonlinear model generator, 296-297; \textit{P. Parizek, T. Vasko}, MDS --- An interactive system for multicriteria evaluation of alternatives, 298-299; \textit{T. Rogowski, J. Sobczyk, A. P. Wierzbicki}, IAC-DIDAS-L --- Dynamic interactive decision analysis and support system, 300-301; \textit{D. P. Solomatin}, STRUM-COMPA --- Problem structuring tools, 302-303; \textit{I. Stanchev, D. Ivanov}, Software system GENERATOR, 304-305; \textit{T. Uskova}, Scientific management system based on object- oriented approach, 305-306; \textit{J. M. Weiss, C. D. Ha, S. C. Narula}, VCU-TASA --- Tolerance approach to sensitivity analysis, 307-308.
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    Albena (Bulgaria)
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    Workshop
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    Proceedings
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    Software
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    Methodology
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    Interactive decision support
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    multicriteria decision-making
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    multiobjective decision support
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    Multicriteria game models
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    negotiation processes
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    bicriteria combinatorial optimization problems
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    hierarchical systems
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    interactive procedures
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