Skip to main content
SpringerLink
Log in

Extending the Reach of Collective Decision Support Systems: Provisions for Disciplining Judgment-Driven Exercises

  • Published:
Theory and Decision Aims and scope Submit manuscript

Abstract

The focus here is on analytical and instrumental requirements for those collective decision exercises that lend themselves to a judgment-driven resolution. These have not as yet received much concerted technical attention from either of the two main movements in the field. They remain somewhere beyond the purview of the objectively-predicated instruments that mainstream GDSS (Group Decision Support System) designs tend to favour. Yet neither are they so inherently ill-structured as the situations with which the GDNSS (Group Decision and Negotiation Support System) community is concerned, these usually allowing only a subjectively-predicated, compromisive or consensus-based conclusion. If the technical requirements peculiar to judgment-driven decision exercises are to be well met, it will be through the offices of analytical instruments that can help assure the rationality of the resolutions at which they arrive. The primary purpose of these pages is to offer some suggestions about the types of analytical instruments that might serve this end.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

REFERENCES

  • Alavi, M. (1994), Computer-Mediated Collaborative Learning, MIS Quarterly 18(2).

  • Beer, S. (1994), Beyond Dispute: The Invention of Team Syntegrity (Wiley).

  • Benbasat, I. & Nault, B. R. (1990), An Evaluation of Empirical Research in Managerial Support Technologies, Decision Support Systems 6(3).

  • Berend, D. & Hanuse, J. E. (1993), Expert Rule Versus Majority Rule Under Partial Information, Theory and Decision 35.

  • Bisschop, J. & Meeraus, J. (1982), On the Development of a General Algebraic Modeling System in a Strategic Planning Environment, Math. Programming Study 20.

  • Bradley, J. (1988), A Group-select Operation for Relational Algebra and Implications for Database Machine Design, IEEE Trans. Software Engineering 14(1).

  • Bradshaw, G. F., et al. (1983), Studying Scientific Discovery by Computer Simulation, Science 222: 4627.

    Google Scholar 

  • Bryson, N., et al. (1994), A Qualitative Discriminant Process for Scoring and Ranking in Group Support Systems, Information Processing and Management 30(3).

  • Carbonell, J. G. (1983), Learning by Analogy: Formulation and Generalizing Plans from Past Experience, in R. S. Michalski et al. (eds.), Machine Learning (Tioga).

  • Chaudhuri, B. B. & Majumder, D. D. (1980), Fuzzy Sets and Possibility Theory in Reliability Studies of Man-Machine Systems, Proceedings of the Symposium on Policy Analysis and Information Systems (Durham, NC).

  • Clark, A., ed. (1976), Experimenting with Organizational Life: The Action Research Approach (Plenum).

  • Craig, W. (1960), Bases for First-Order Theories and Subtheories, J. Symbolic Logic 25.

  • Dawkins, R. (1996), Climbing Mount Improbable (Norton).

  • Dempster, A. P. (1968), A Generation of Bayesian Inference, J. of the Royal Statistical Society, Series B, 30.

  • DeSanctis, G. & Gallupe, B. (1987), A Foundation for the Study of Group Decision Support Systems, Management Science 33(5).

  • Dittrich, K. R. (1986), Object-Oriented Database Systems: The Notion and the Issues, Proceedings of the International Workshop on Object-Oriented Database Systems (ACM Press).

  • Fishbum, P. C. (1977), Condorcet Social Choice Functions, SIAM J. of Appl. Math. 33(3).

  • Geofflian, A. M. (1986), An Introduction to Structured Modeling, Western Management Science Institute, UCLA, Working Paper No. 338.

  • Gettys, C. F., et al. (1986), Plausibility Assessments in Hypothesis Generation, Org. Behavior and Human Decision Processes37.

  • Gordon, W. (1961), Synectics: The Development of Creative Capacity (Harper & Row).

  • Gray, P., et al. (1981), The SMU Decision Room Project, Trans. of the First International Conference on Decision Support Systems (Atlanta).

  • Hardin, G. (1968), The Tragedy of the Commons, Science 162.

  • Harsanyi, J. A. (1955), Cardinal Welfare, Individualistic Ethics and Interpersonal Comparisons of Utility, Political Economy 63.

  • Iz, P. (1992), Two Multiple Criteria Group Decision Support Systems Based on Mathematical Programming and Ranking Methods, European Journal of Operations Research 61(1/2).

  • Kamal, S. Z., et al. (1987),Knowledge Representation for Discipline-independent Decision Making, in Gero (ed.), Expert Systems in Computer-Aided Design (North Holland).

  • Keeney, R. L. (1974), Multiplicative Utility Functions, Operations Research 22.

  • Laine, J., et al. (1986), Group Decision-making Under Uncertainty: A Note on the Aggregation of Ordinal Probabilities, Theory and Decision 21(2).

  • Lenat, D. B. (1983), The Role of Heuristics in Learning by Discovery: Three Case Studies, in Michaliski (ed.), Machine Learning (Tioga Publishing Co.).

  • Liberatore, M. & Miller, T. (1995), A Decision Support Approach for Transport Carrier and Mode Selection, Journal of Business Logistics 16(2).

  • Lin, M. J. (1984), Group Decision Making Under Multiple Criteria, Methods and Applications. PhD Dissertation: Kansas State University.

  • Malakooti, B. (1988), A Decision Support System and a Heuristic Approach for Solving Discrete Multiple Criteria Problems, IEEE Trans. Systems, Man and Cybernetics 18

  • Niemi, R.G. & Weisberg, H.F. (1972), Probability Models of Collective Decision Making (Merrill).

  • Nitzan, S. & Paroush, J. (1985), Collective Decision Making (Cambridge University Press).

  • Nunamaker, J. F., Applegate L. M. & Konsynski, B. R. (1988), Computer-aided Deliberation: Model Management and Group Decision Support, Operations Research 36.

  • Ruspini, E. H. (1982), Possibility Theory Approaches for Advanced Information Systems, Computer 15(9).

  • Saaty, T. (1980), The Analytic Hierarchy Process (McGraw-Hill).

  • Sage, A. P. (1984), ARIADNE: A Knowledge-based Interactive System for Planning and Decision Support, IEEE Trans. Systems, Man, and Cybernetics 4(1).

  • Saltz, R. F. (1986), Searching for Structure in Beliefs, in Harris (ed.), Rationality and Collective Beliefs (Ablex).

  • Seadler, S. E. (1978), Ideologic Essentials of Public Administration, in Sutherland (ed.) The Management Handbook for Public Administration (Van Nostrand Reinhold).

  • Sengupta, S. S. (1984), Lattices, Bargaining and Group Decisions, Theory and Decision 16.

  • Shafer, G. (1976), A Mathematical Theory of Evidence (Princeton University Press).

  • Shasha, D. E. (1983), Knowledge-Based Systems Design Using Conceptual Graphs. IBM Research Institute: TR 83-023.

  • Shaw M. J. & Fox, M. S. (1993), Distributed Artificial Intelligence for Group Decision Support, Decision Support Systems 9.

  • Sheetz, S. D., et al. (1994), A Group Support Systems Approach to Cognitive Mapping, J. of Management Information Systems 11(1).

  • Siskos, G., et al. (1984), A Multicriteria Decision-making Methodology Under Fuzzyness, TIMS: Studies in Management Science

  • Sowa, J. F. (1984), Conceptual Structures (Addison-Wesley).

  • Sutherland, J.W. (1988), Prospects for Logical (versus Data) Processing Facilities as Strategic Decision Aids, IEEE Trans. Systems, Man, and Cybernetics 16(6).

  • Sutherland, J.W. (1990), Disciplining Qualitative Decision Exercises – Part II, Theory and Decision29.

  • Taivalsaari, A. (1993), On the Notion of Object, J. Systems Software 21(3).

  • Tanniru, M. R. & Jam, H. K. (1989), Knowledge-based GDSS to Support Reciprocally Interdependent Decisions, Decision Support Systems 5.

  • Tukey, J. W. (1977), Exploratory Data Analysis (Addison-Wesley).

  • Turoff, M. (1989), Computer-mediated Communication Requirements for Group Support. Paper presented at the Conference on Organizational Computing, Coordination and Collaboration, Austin, Texas.

  • Warfield, J. (1976), Societal Systems: Planning, Policy and Complexity (Wiley).

  • Winnie, J. A. (1967), The Implicit Definition of Theoretical Terms, British J. Philosophy of Science 18.

  • Yager, R. R. (1988), On Ordered Weighted Averaging Aggregation Operators in Multicriteria Decisionmaking, IEEE Trans. Systems, Man and Cybernetics 18.

  • Yager, R. R. (1990), A Model of Participatory Learning, IEEE Trans. on Systems, Man and Cybernetics 20(5).

  • Zadeh, L. A. (1977), Possibility Theory vs. Probability Theory in Decision Analysis, Proceedings of the 1977 IEEE Conference on Decision and Control, New Orleans.

  • Zhang, W., et al. (1992), A Cognitive-Map-Based Approach to the Coordination of Distributed Cooperative Agents, IEEE Trans. Systems, Man, and Cybernetics 22(1).

Download references

Authors
  1. John W. Sutherland
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Sutherland, J.W. Extending the Reach of Collective Decision Support Systems: Provisions for Disciplining Judgment-Driven Exercises. Theory and Decision 48, 1–46 (2000). https://doi.org/10.1023/A:1005008412046

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1005008412046

Search

Navigation