The Analytic Network Process: Astronomy, Icebergs, and Big Box Stores

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Published Apr 11, 2018
Orrin Cooper

Abstract

The Analytic Network Process (ANP) is a disruptive technology that has had significant impacts in the field of decision-making. By drawing on an analogy to the field of astronomy we can see that even with all that has been developed we must avoid the illusion of thinking that the field is mature and fully discovered. The ANP has many parallels to icebergs from what portion is visible to the value of providing relevant warning products. One of the most important contributions going forward will be the discovery of the more complex and hidden relationships and tests that ANP decision makers can use to test their models. These discoveries will improve both the reputation of the ANP and decision maker’s confidence in their models. Without these discoveries, the ANP runs the risk of becoming like a big box retail store.

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Keywords

Analytic Network Process (ANP), dependence, data quality, judgmental data

References
Brunelli, M., Canal, L., & Fedrizzi, M. (2013). Inconsistency indices for pairwise comparison matrices: a numerical study. Annals of Operations Research, 211(1), 493-509. Doi: https://doi.org/10.1007/s10479-013-1329-0

Cooper, O., & Liu, G. (2017). Achieving the desired level of dependency in ANP decision models. International Journal of the Analytic Hierarchy Process, 9(1), 2-26. Doi: https://doi.org/10.13033/ijahp.v9i1.450

Cooper, O. & Yavuz, I. (2016). Linking validation: A search for coherency within the Supermatrix. European journal of operational research, 252(1), 232-245. Doi: https://doi.org/10.1016/j.ejor.2015.12.045

Grzybowski, A. Z. (2016). New results on inconsistency indices and their relationship with the quality of priority vector estimation. Expert Systems with Applications, 43, 197-212. Doi: https://doi.org/10.1016/j.eswa.2015.08.049

Newcomb, S. (1903). The universe as an organism. Science, 17(421), 121-129. Doi: 10.1126/science.17.421.121

Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of mathematical psychology, 15(3), 234-281. Doi: https://doi.org/10.1016/0022-2496(77)90033-5

Saaty, T. L. (1996). Decision making with dependence and feedback: The analytic network process. Pittsburgh, PA: RWS Publication.

Saaty, T. L., & Takizawa, M. (1986). Dependence and independence: From linear hierarchies to nonlinear networks. European Journal of Operational Research, 26(2), 229-237. Doi: https://doi.org/10.1016/0377-2217(86)90184-0

US Coast Guard, (2017). About International Ice Patrol (IIP). 1/31/2018, from https://www.navcen.uscg.gov/?pageName=IIPHome

US Coast Guard, (2018). How much of an icebery is below the water. 2018, from https://www.navcen.uscg.gov/?pageName=iipHowMuchOfAnIcebergIsBelowTheWater

Wallenius, J., Dyer, J. S., Fishburn, P. C., Steuer, R. E., Zionts, S., & Deb, K. (2008). Multiple Criteria Decision Making, Multiattribute Utility Theory: Recent accomplishments and what lies ahead. Management Science, 54(7), 1336-1349. Doi: 10.1287/mnsc.1070.0838

Whitaker, R. (2007). Validation examples of the analytic hierarchy process and analytic network process. Mathematical and Computer Modelling, 46(7-8), 840-859.

Wolff, S. (1999). The AAS: Its next 100 years. Paper presented at the Bulletin of the American Astronomical Society.

Yavuz, I., & Cooper, O. (2017). A dynamic clustering method to improve the coherency of an ANP Supermatrix. Annals of Operations Research, 254(1-2), 507-531. Doi: https://doi.org/10.1007/s10479-017-2403-9

Yohn, D. (2016). Big-box retailers have two options if they want to survive. Harvard Business Review. https://hbr.org/2016/06/big-box-retailers-have-two-options-if-they-want-to-survive
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