research-article

Free access

A conversational decision support system for resource allocation without explicit objective function

Authors:

Fumihiko Mori,

Hiroshi Tsuji,

Takashi SatoAuthors Info & Claims

AFIPS '80: Proceedings of the May 19-22, 1980, national computer conference

Pages 1 - 6

https://doi.org/10.1145/1500518.1500520

Published: 19 May 1980 Publication History

PDF eReader

Abstract

This paper presents a conversational multiobjective decision support system. The system is called RAINBOW: Resource Allocation in Business Operation under Uncertain Worth. Our focus in the design and development of RAINBOW is placed on the loosely structured decision situation where the objective functions are given only implicitly and, as such, should be approximated by the decision maker as the decision making process proceeds.

References

[1]

Haimes, Y. Y. and Hall, W. A., "Multiobjectives in Water Resource Systems Analysis: The Surrogate Worth Trade-off Method," Water Resources Research, vol. 10 no. 4, 1974, pp. 615--624.

Crossref

Google Scholar

[2]

Hall, W. A. and Haimes, Y. Y., "The Surrogate Worth Trade-off Method with Multiple Decision Makers," in Multiple Criteria Decision-Making: Kyoto 1975, M. Zelney (ed.), Springer-Verlag, New York, 1976, pp. 207--233.

Google Scholar

[3]

Keeney, R. L. and Raiffa, H., Decisions with Multiple Objectives: Preferences and Value Tradeoffs, J. Wiley, New York, 1976.

Google Scholar

[4]

Haimes, Y. Y., Das, P., and Sung, K., "Multiobjective Analysis and Related Land Resources Planning," in Water Resources and Land Use Planning. P. Laconte and Y. Y. Haimes (eds.), 1979.

Google Scholar

[5]

de Neufville, R. and Keeney, R. L., "Use of Decision Analysis in Airport Development for Mexico City," in Analysis of Public Systems, A. W. Drake, R. L. Keeney and P. M. Morse (eds.), M.I.T. Press, 1972.

Google Scholar

[6]

Geoffrion, A. M., Dyer, J. S., and Feinberg, A., "An Interactive Approach for Multi-criterion Optimization, with an Application to the Operation of an Academic Department," Management Science, 19(4), 1972, pp. 357--368.

Digital Library

Google Scholar

[7]

Dickover, M. E., McGowan, C. L., and Ross, D. T., "Software Design using SADT." in Proceedings of the ACM National Conference, Seattle, Washington, October 1977.

Digital Library

Google Scholar

[8]

Wozny, M. J. and Heydt, G. T., "Hyperconical Random Search," Journal of Dynamic Systems, Measurement and Control, March 1972, pp. 71--77.

Crossref

Google Scholar

A conversational decision support system for resource allocation without explicit objective function

Recommendations

Decision support system (DSS) use and decision performance

We developed an experimental DSS to manipulate two DSS features.DSS use mediates the effect of DSS motivation on decision performance.Positive DSS performance feedback and high task motivation increase DSS motivation.Fast DSS response time and high task ...
Decision Support System Effectiveness: A Review and an Empirical Test

Despite the increasing popularity of decision support systems DSS, effectiveness of such systems remains unproven. Past research claiming usefulness of the DSS has relied largely on anecdotal or case data. The relatively few laboratory experiments ...
Improving Decision Making by Means of a Marketing Decision Support System

Marketing decision makers are confronted with an increasing amount of information. This leads to a complex decision environment that may cause decision makers to lapse into using mental-effort-reducing heuristics such as anchoring and adjustment. In an ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

AFIPS '80: Proceedings of the May 19-22, 1980, national computer conference

May 1980

932 pages

ISBN:9781450379236

DOI:10.1145/1500518

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 May 1980

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Research-article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

0
Total Citations
136
Total Downloads

Downloads (Last 12 months)40
Downloads (Last 6 weeks)8

Reflects downloads up to 16 Feb 2025

Other Metrics

View Author Metrics

Citations

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Recommendations

Decision support system (DSS) use and decision performance

Decision Support System Effectiveness: A Review and an Empirical Test

Improving Decision Making by Means of a Marketing Decision Support System