Comparing Multi-criteria Decision-making Programs

  • Benjamin Radcliff
Part of the Policy Studies Organization Series book series (PSOS)


The explosive popularity and accessibility of microcomputers has led to a plethora of decision-aiding software. The majority of such software involves translating traditional management science and operations research techniques into user-friendly micro programs. Several reviews and evaluations of this growing body of software have appeared (see, for example, Sharda, 1984).


Confidence Factor Expert Choice Utility Curve Linear Piece Decision Analyst 
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  1. Bui, X. T., Executive Planning with Basic (Berkeley, Calif.: Sybex, 1982).Google Scholar
  2. Nagel, S., Policy Evaluation: Making Optimum Decisions (New York: Praeger, 1982).Google Scholar
  3. Nagel, S., Public Policy: Goals, Means, and Methods (New York: St. Martins, 1984).Google Scholar
  4. Nagel, S., “Part/Whole Percentaging in Policy/Program Evaluation”, 8, Evaluation and Program Planning, 107–20 (1985).CrossRefGoogle Scholar
  5. Saaty, T., “Modeling Unstructured Decision Problems”, 20, Mathematics and Computers in Simulation, 147–57 (1978).CrossRefMATHGoogle Scholar
  6. Saaty, T., The Analytical Hierarchy Process (New York: McGraw-Hill, 1980).MATHGoogle Scholar
  7. Saaty, T., Decision Making for Leaders (Belmont, Calif.: Wadsworth, 1982).Google Scholar
  8. Sharda, R., “Linear Programming on Microcomputers”, 14, Interfaces, 27–38 (1984).CrossRefGoogle Scholar
  9. Zeleny, M., Multiple Criteria Decision Making (New York: McGraw-Hill, 1982).MATHGoogle Scholar

Copyright information

© Policy Studies Organization 1992

Authors and Affiliations

  • Benjamin Radcliff
    • 1
  1. 1.Government DepartmentUniversity of Notre DameUSA

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