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A simulation approach for handling uncertainty in the analytic hierarchy process

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  • Levary, Reuven R.
  • Wan, Ke

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  • Levary, Reuven R. & Wan, Ke, 1998. "A simulation approach for handling uncertainty in the analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 106(1), pages 116-122, April.
    • Handle: RePEc:eee:ejores:v:106:y:1998:i:1:p:116-122
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    1. Paulson, Dan & Zahir, Sajjad, 1995. "Consequences of uncertainty in the analytic hierarchy process: A simulation approach," European Journal of Operational Research, Elsevier, vol. 87(1), pages 45-56, November.
    2. Saaty, Thomas L. & Vargas, Luis G., 1987. "Uncertainty and rank order in the analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 32(1), pages 107-117, October.
    3. Saaty, Thomas L., 1994. "Highlights and critical points in the theory and application of the Analytic Hierarchy Process," European Journal of Operational Research, Elsevier, vol. 74(3), pages 426-447, May.
    4. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    5. Sajjad Zahir, M., 1991. "Incorporating the uncertainty of decision judgements in the analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 53(2), pages 206-216, July.
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    Cited by:

    1. R Bañuelas & J Antony, 2007. "Application of stochastic analytic hierarchy process within a domestic appliance manufacturer," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(1), pages 29-38, January.
    2. Olson, David L. & Wu, Desheng, 2006. "Simulation of fuzzy multiattribute models for grey relationships," European Journal of Operational Research, Elsevier, vol. 175(1), pages 111-120, November.
    3. Fan, Zhi-Ping & Liu, Yang & Feng, Bo, 2010. "A method for stochastic multiple criteria decision making based on pairwise comparisons of alternatives with random evaluations," European Journal of Operational Research, Elsevier, vol. 207(2), pages 906-915, December.
    4. Fatih Tüysüz, 2018. "Simulated Hesitant Fuzzy Linguistic Term Sets-Based Approach for Modeling Uncertainty in AHP Method," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(03), pages 801-817, May.
    5. Rabelo, Luis & Eskandari, Hamidreza & Shaalan, Tarek & Helal, Magdy, 2007. "Value chain analysis using hybrid simulation and AHP," International Journal of Production Economics, Elsevier, vol. 105(2), pages 536-547, February.
    6. Vetschera, Rudolf, 2000. "A multi-criteria agency model with incomplete preference information," European Journal of Operational Research, Elsevier, vol. 126(1), pages 152-165, October.
    7. Jessop, Alan, 2014. "IMP: A decision aid for multiattribute evaluation using imprecise weight estimates," Omega, Elsevier, vol. 49(C), pages 18-29.
    8. Durbach, Ian & Lahdelma, Risto & Salminen, Pekka, 2014. "The analytic hierarchy process with stochastic judgements," European Journal of Operational Research, Elsevier, vol. 238(2), pages 552-559.
    9. A Jessop, 2011. "Using imprecise estimates for weights," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(6), pages 1048-1055, June.
    10. Beynon, Malcolm, 2002. "DS/AHP method: A mathematical analysis, including an understanding of uncertainty," European Journal of Operational Research, Elsevier, vol. 140(1), pages 148-164, July.
    11. Levary, Reuven R. & Wan, Ke, 1999. "An analytic hierarchy process based simulation model for entry mode decision regarding foreign direct investment," Omega, Elsevier, vol. 27(6), pages 661-677, December.
    12. Ian Durbach, 2019. "Scenario planning in the analytic hierarchy process," Futures & Foresight Science, John Wiley & Sons, vol. 1(2), June.
    13. Amin Vafadarnikjoo & Madjid Tavana & Tiago Botelho & Konstantinos Chalvatzis, 2020. "A neutrosophic enhanced best–worst method for considering decision-makers’ confidence in the best and worst criteria," Annals of Operations Research, Springer, vol. 289(2), pages 391-418, June.
    14. Ozdemir, Mujgan S. & Saaty, Thomas L., 2006. "The unknown in decision making: What to do about it," European Journal of Operational Research, Elsevier, vol. 174(1), pages 349-359, October.
    15. Hocine, Amine & Kouaissah, Noureddine, 2020. "XOR analytic hierarchy process and its application in the renewable energy sector," Omega, Elsevier, vol. 97(C).
    16. Ma, Li-Ching & Li, Han-Lin, 2008. "A fuzzy ranking method with range reduction techniques," European Journal of Operational Research, Elsevier, vol. 184(3), pages 1032-1043, February.
    17. Bui, Nuong Thi & Kawamura, Akira & Kim, Kyoung Woong & Prathumratana, Lunchakorn & Kim, Tae-Heok & Yoon, Suk-Ho & Jang, Min & Amaguchi, Hideo & Bui, Duong Du & Truong, Ngoc Tu, 2017. "Proposal of an indicator-based sustainability assessment framework for the mining sector of APEC economies," Resources Policy, Elsevier, vol. 52(C), pages 405-417.
    18. Durbach, Ian N. & Stewart, Theodor J., 2011. "An experimental study of the effect of uncertainty representation on decision making," European Journal of Operational Research, Elsevier, vol. 214(2), pages 380-392, October.
    19. Cox, M.A.A., 2007. "Examining alternatives in the interval analytic hierarchy process using complete enumeration," European Journal of Operational Research, Elsevier, vol. 180(2), pages 957-962, July.
    20. Zhu, Bin & Xu, Zeshui, 2014. "Stochastic preference analysis in numerical preference relations," European Journal of Operational Research, Elsevier, vol. 237(2), pages 628-633.

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