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Analytic network process

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Encyclopedia of Operations Research and Management Science

INTRODUCTION

There are at least five important criteria that a reliable decision theory should satisfy. They are: (1) having the potential to cope with full fledged complexity, including scenarios, stakeholders, criteria, subcriteria and the like; (2) validation in practice through prediction of decision outcomes in complex situations; (3) measuring intangible factors along similar lines as the theory does with tangibles; (4) including the possibility to deal with dependence and feedback among the elements of the decision; and (5) allowing for group decision making within the assumptions and mathematical workings of the theory by including the power of each member of a group in a scientifically justified way and not simply through consensus or other arbitrarily chosen criteria.

The Analytic Network Process (ANP) is a new theory that extends the Analytic Hierarchy Process (AHP) to cases of dependence and feedback and generalizes on the supermatrix approach introduced in Saaty (1980)...

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References

  1. Saaty, T.L. (1977). “A Scaling Method for Priorities in Hierarchical Structures,” Jl. Mathematical Psychology 15(3), 234–281.

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  2. Saaty, T.L. (1982). Decision Making for Leaders. Wadsworth, Belmont, California.

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  3. Saaty, T.L. (1986). “Axiomatic Foundation of the Analytic Hierarchy Process,” Management Science 32, 841–855.

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  4. Saaty, T.L. (1994). Fundamentals of the Analytic Hierarchy Process. RWS Publications, Pittsburgh, Pennsylvania.

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  5. Saaty, T.L. (1996). The Analytic Network Process. RWS Publications, Pittsburgh, Pennsylvania.

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  6. Saaty, T.L. and Alexander, J. (1989). Conflict Resolution: The Analytic Hierarchy Process. Praeger, New York.

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  7. Saaty, T.L. and Vargas, L.G. (1991). Prediction, Projection and Forecasting. KluwerAcademic, Norwell, Massachusetts.

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© 2001 Kluwer Academic Publishers

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Saaty, T.L. (2001). Analytic network process. In: Gass, S.I., Harris, C.M. (eds) Encyclopedia of Operations Research and Management Science. Springer, New York, NY. https://doi.org/10.1007/1-4020-0611-X_32

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  • DOI: https://doi.org/10.1007/1-4020-0611-X_32

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-7923-7827-3

  • Online ISBN: 978-1-4020-0611-1

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