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Evaluation of Methods for Exploring Ill-Defined Problems

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  • L D Hopkins

    (Department of Urban and Regional Planning, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA)

Abstract

Methods for exploring ill-defined problems are now being developed. Claims for these methods are frequently based on analogies with optimization processes. More persuasive backing for these claims can be obtained by conducting experiments that consider both the analyst or decisionmaker and the method. The most fruitful experimental design is for each subject to apply one method to one problem. Solution quality is then assessed by external judges, using the solutions from all the subjects as a source of knowledge about the ill-defined problem.

Suggested Citation

  • L D Hopkins, 1984. "Evaluation of Methods for Exploring Ill-Defined Problems," Environment and Planning B, , vol. 11(3), pages 339-348, September.
  • Handle: RePEc:sae:envirb:v:11:y:1984:i:3:p:339-348
    DOI: 10.1068/b110339
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    References listed on IDEAS

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    1. Jyrki Wallenius, 1975. "Comparative Evaluation of Some Interactive Approaches to Multicriterion Optimization," Management Science, INFORMS, vol. 21(12), pages 1387-1396, August.
    2. Thomas W. Trybus & Lewis D. Hopkins, 1980. "Humans vs. Computer Algorithms for the Plant Layout Problem," Management Science, INFORMS, vol. 26(6), pages 570-574, June.
    3. E. Downey Brill, Jr. & Shoou-Yuh Chang & Lewis D. Hopkins, 1982. "Modeling to Generate Alternatives: The HSJ Approach and an Illustration Using a Problem in Land Use Planning," Management Science, INFORMS, vol. 28(3), pages 221-235, March.
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