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Preference Conditions for Multiattribute Value Functions

Author

Listed:
  • Craig W. Kirkwood

    (Woodward-Clyde Consultants, San Francisco, California)

  • Rakesh K. Sarin

    (University of California at Los Angeles, Los Angeles, California)

Abstract

This paper examines conditions on preferences that simplify the assessment of multiattribute value functions for use in the analysis of multiobjective decision problems. It is shown that when these conditions hold the value function must have a simple analytic form. A procedure is presented for testing whether the conditions hold and determining the value function when the conditions are found to be valid.

Suggested Citation

  • Craig W. Kirkwood & Rakesh K. Sarin, 1980. "Preference Conditions for Multiattribute Value Functions," Operations Research, INFORMS, vol. 28(1), pages 225-232, February.
    • Handle: RePEc:inm:oropre:v:28:y:1980:i:1:p:225-232
    DOI: 10.1287/opre.28.1.225
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    Cited by:

    1. J-D Lee & A Repkine & S-W Hwang & T-Y Kim, 2004. "Estimating consumers' willingness to pay for individual quality attributes with DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(10), pages 1064-1070, October.
    2. Mohammad A. Shbool & Manuel D. Rossetti, 2020. "Decision-Making Framework for Evaluating Physicians’ Preference Items Using Multi-Objective Decision Analysis Principles," Sustainability, MDPI, vol. 12(16), pages 1-22, August.
    3. Jesse Daniels & Paul W. Werner & A. Terry Bahill, 2001. "Quantitative methods for tradeoff analyses," Systems Engineering, John Wiley & Sons, vol. 4(3), pages 190-212.
    4. Asim Roy & Patrick Mackin & Jyrki Wallenius & James Corner & Mark Keith & Gregory Schymik & Hina Arora, 2008. "An Interactive Search Method Based on User Preferences," Decision Analysis, INFORMS, vol. 5(4), pages 203-229, December.
    5. Jay Simon & Craig W. Kirkwood & L. Robin Keller, 2014. "Decision Analysis with Geographically Varying Outcomes: Preference Models and Illustrative Applications," Operations Research, INFORMS, vol. 62(1), pages 182-194, February.
    6. Jay Simon & Francois Melese, 2011. "A Multiattribute Sealed-Bid Procurement Auction with Multiple Budgets for Government Vendor Selection," Decision Analysis, INFORMS, vol. 8(3), pages 170-179, September.
    7. Liang-chuan Wu & I-chan Tsai, 2014. "Three fuzzy goal programming models for index portfolios," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(8), pages 1155-1169, August.
    8. Hsu, Chih-Ming, 2004. "An integrated approach to enhance the optical performance of couplers based on neural networks, desirability functions and tabu search," International Journal of Production Economics, Elsevier, vol. 92(3), pages 241-254, December.
    9. Min Ding & Jehoshua Eliashberg, 2008. "A Dynamic Competitive Forecasting Model Incorporating Dyadic Decision Making," Management Science, INFORMS, vol. 54(4), pages 820-834, April.
    10. Borgonovo, E., 2010. "The reliability importance of components and prime implicants in coherent and non-coherent systems including total-order interactions," European Journal of Operational Research, Elsevier, vol. 204(3), pages 485-495, August.
    11. Terry P. Harrison & Richard E. Rosenthal, 1988. "Optimizability of utility and value functions," Naval Research Logistics (NRL), John Wiley & Sons, vol. 35(3), pages 411-418, June.
    12. Paul L. Ewing & William Tarantino & Gregory S. Parnell, 2006. "Use of Decision Analysis in the Army Base Realignment and Closure (BRAC) 2005 Military Value Analysis," Decision Analysis, INFORMS, vol. 3(1), pages 33-49, March.
    13. L. A. Shah & A. Etienne & A. Siadat & F. Vernadat, 2016. "Decision-making in the manufacturing environment using a value-risk graph," Journal of Intelligent Manufacturing, Springer, vol. 27(3), pages 617-630, June.
    14. Bana e Costa, Carlos A. & Oliveira, Mónica D. & Vieira, Ana C.L. & Freitas, Liliana & Rodrigues, Teresa C. & Bana e Costa, João & Freitas, Ângela & Santana, Paula, 2023. "Collaborative development of composite indices from qualitative value judgements: The EURO-HEALTHY Population Health Index model," European Journal of Operational Research, Elsevier, vol. 305(1), pages 475-492.

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