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Computer Assisted Decision Support Systems

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Aquaculture Management
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Abstract

The analytic hierarchy process (AHP) provides a logical, organized means to handle all important qualitative as well as quantitative factors in the decisionmaking process. The AHP and similar support systems require the use of a computer and appropriate software. AHP uses some fancy mathematical footwork, the eigenvalue approach, to enable the valid use of quantitative judgments in real number operations (by converting all measurements to ratios). The theory makes interesting reading, even to some nonmathematicians. But it is not necessary to understand the theoretical derivation of AHP in order to use it.

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References and Recommended Readings

  • Acroff, R. L. 1970. A Concept of Corporate Planning. New York: Wiley-Interscienee.

    Google Scholar 

  • Ahmed, N. V. and N. D. Georganas. 1973. Optimal control theory applied to a dynamic aquatic eco-system. J. Fish. Res. Board Can. 30:576–579.

    Article  Google Scholar 

  • Anderson, D. R., D. J. Sweeney, and T. A. Williams. 1986. Quantitative Methods for Business. St. Paul, MN: West Publishing Company.

    Google Scholar 

  • Argyris, C. 1971. Management information systems: The challenge to rationality and emotionality. Manag. Sci. 17:B279–294.

    Article  Google Scholar 

  • Arraes, R. A. 1983. Alternative evaluations of economically optional rations for broilers. Ph.D. dissertation. Athens, GA: University of Georgia.

    Google Scholar 

  • Baumol, W. J. 1977. Economic Theory and Operations Analysis. Englewood Cliffs, NJ: Prentice-Hall, Inc.

    Google Scholar 

  • Brans, J. P. 1984. Operational Research 84: Proceedings of the Tenth International Conference on Operational Research. New York: Elsevier Science Publishing Company.

    Google Scholar 

  • Clark, R. D., Jr. and R. A. Martin. 1986. Minimizing Cost of Transporting Fish from Hatcheries to Public Fishing Waters. Michigan DNR Fish. Res. Rep. No. 1939.

    Google Scholar 

  • Cornell, A. H. 1980. The Decision Maker’s Handbook. Englewood Cliffs, NJ: Prentice-Hall, Inc.

    Google Scholar 

  • Dodge, J. A. 1981. Buy or lease cost model—selected railway equipment. Final Report. Fort Lee, VA: Logistics Studies Office.

    Google Scholar 

  • Etlon, S. 1969. What is a decision? Manag. Sci. 16:B172–189.

    Google Scholar 

  • Etzioni, A. 1967. Mixed scanning: A “third” approach to decision making. Public Admin. Rev. 27:385–392.

    Article  Google Scholar 

  • Forman, E. H. 1983. The analytic hierarchy process as a decision support system. Proc. IEEE Computer Soc. pp. 251–272.

    Google Scholar 

  • Forman, E. H. 1985. Decision support for executive decision makers. Information Strategy: Executive J. 1(4).

    Google Scholar 

  • Forman, E. H., T. L. Sasty, M. A. Selly, and R. Waldron. 1983. Expert Choice. McLean, VA: Decision Support Software.

    Google Scholar 

  • Gass, S. I. 1969. Linear Programming Methods and Application. New York: McGraw-Hill Book Company.

    Google Scholar 

  • Gass, S. I. 1985. Decision Making, Models and Algorithms. New York: John Wiley & Sons, Inc.

    Google Scholar 

  • Gross, D. and C. Harris. 1985. Fundamentals of Queuing Theory, 2nd ed., New York: John Wiley & Sons, Inc.

    Google Scholar 

  • Harvey, C. M. 1979. Operations Research: An Introduction to Linear Optimization and Decision Analysis. New York: Elsevier North-Holland, Inc.

    Google Scholar 

  • Hillier, F. S. and G. J. Lieberman. 1974. Introduction to Operations Research. San Francisco: Holden-Day, Inc.

    Google Scholar 

  • Hong, S. and R. Nigam. 1981. Analytic hierarchy process applied to evaluation of financial modeling software. In International Conference on Decision Support Systems, First, pp. 96–101. Atlanta, GA. Austin, TX: Execucom Systems.

    Google Scholar 

  • Jones, L. 1975. Decision analysis. Milton Keynes, England: The Open University Press.

    Google Scholar 

  • Kennedy, J. O. S. 1986. Dynamic Programming: Applications to Agriculture and Natural Resources. New York: Elsevier Applied Science Publishers.

    Google Scholar 

  • Kepner, C. H. and B. B. Tregoe. 1965. The Rational Manager: A Systematic Approach to Problem Solving and Decision Making. New York: McGraw-Hill Book Company.

    Google Scholar 

  • Littlechild, S. C., ed. 1977. Operational Research for Managers. Oxford: Philip Allen Publishers, Ltd.

    Google Scholar 

  • Luce, R. D. and H. Raiffa. 1959. Games and Decisions, chap. 7. New York: John Wiley & Sons, Inc.

    Google Scholar 

  • MacCrimmon, K. R. 1973. An overview of multiple objective decision making. In Multiple Criteria Decision Making, ed. J. L. Cochrane and M. Zeleny, pp. 18–44. Columbia, SC: University of South Carolina Press.

    Google Scholar 

  • MacCrimmon, K. R. 1974. Managerial decision making. In Contemporary Management—Issues and Viewpoints, ed. J. W. McGuire, pp.445–495. New York: Prentice-Hall, Inc.

    Google Scholar 

  • Mendelssohn, R. 1982. Discount factors and risk aversion in managing random fish populations. Can. J. Fish. Aqua. Sci. 39:1252–1257.

    Article  Google Scholar 

  • Miller, G. A. 1956. The magical number seven, plus or minus two: Some limits on our capacity for information processing. Psych. Rev. 63:81–97.

    Article  Google Scholar 

  • Moder, J. J. and C. R. Phillips. 1964. Project Management with C.P.M. and P.E.R.T. New York: Reinhold Publishing Company.

    Google Scholar 

  • Raiffa, H. and R. Schlaifer. 1978. Applied Statistical Decision Theory. Cambridge, MA: M.I.T. Press.

    Google Scholar 

  • Romero, C. and T. Rehman. 1984. Goal programming and multiple criteria decision-making in farm planning: An expository analysis. J. Agric. Econ. 35:177–190.

    Article  Google Scholar 

  • Saaty, T. L. 1980. The Analytic Hierarchy Process. New York: McGraw-Hill Book Company.

    Google Scholar 

  • Saaty, T. L. 1982. Decision Making for Leaders. Belmont, CA: Lifetime Learning Publications, a division of Wadsworth Publishing Company, Inc.

    Google Scholar 

  • Sale, M. J., E. D. Brill, Jr., and E. E. Herricks. 1982. An approach to optimizing reservoir operation for downstream aquatic resources. Water Resou. Res. 18:705–712.

    Article  Google Scholar 

  • Schaifer, R. 1969. Analysis of Decisions Under Uncertainty. New York: McGraw-Hill Book Company.

    Google Scholar 

  • Simon, H. A. 1960. The New Science of Management Decision, pp. 40–43. New York: Harper & Brothers.

    Google Scholar 

  • Singh, J. 1972. Great Ideas of Operations Research. New York: Dover Publications.

    Google Scholar 

  • Stamp, N. H. E. 1978. Computer technology and farm management economics in shrimp farming. Proc. World Maricul. Soc. 9:383–392.

    Article  Google Scholar 

  • Tomlinson, J. W. C. and P. S. Brown. 1979. Decision analysis in fish hatchery management. Trans. Am. Fish. Soc. 108:121–129.

    Article  Google Scholar 

  • Wagner, H. M. 1975. Principles of Operations Research, pp. 667–672. Englewood Cliffs, NJ: Prentice-Hall, Inc.

    Google Scholar 

  • Woolsey, R. E. D. and H. S. Swanson. 1975. Operations Research for Immediate Application: A Quick and Dirty Manual. New York: Harper & Row Publishers, Inc.

    Google Scholar 

  • Wright, S. 1981. Contemporary Pacific salmon fisheries management. N. Am. J. Fish. Manag. 1:29–40.

    Article  Google Scholar 

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© 1989 Van Nostrand Reinhold

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Meade, J.W. (1989). Computer Assisted Decision Support Systems. In: Aquaculture Management. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-6470-6_12

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  • DOI: https://doi.org/10.1007/978-1-4615-6470-6_12

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4615-6472-0

  • Online ISBN: 978-1-4615-6470-6

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