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Multi-Attribute Group-Decision on a Construction Diversion Scheme for Hydropower Projects Based on Perception Utility

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  • Dawei Liu

    (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China)

  • Zhigen Hu

    (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China)

  • Wencheng Guo

    (School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

The multi-attribute and group-decision problem in the selection of a construction diversion scheme for large hydropower projects often involves multi-decision subjects and schemes. Each scheme includes multiple attributes, and the attribute values and weights are multi-attribute group decision-making problems with interval numbers. In this study, a new method for solving the multi-attribute group-decision problem is proposed by integrating regret theory, negotiation gathering theory, and the Monte Carlo simulation technique. Firstly, decision-makers’ comprehensive perception utility for each scheme is calculated based on the regret theory. Then, non-uniform and fuzzy opinion of different decision subjects are negotiated and gathered, and negotiation intervals of the attribute weights are calculated through group negotiation gathering theory. Moreover, fuzzy complementary judgment matrixes describing an excellent degree of the diversion schemes are obtained by conducting Monte Carlo simulations. Finally, the alternative diversion schemes are sorted in terms of their priorities, and the reliability of the sorting procedure is confirmed. The multi-attribute group-decision problem in the selection of a construction diversion scheme for Jinping I Hydropower Station is effectively solved by the proposed method. The proposed method is reliable and may significantly contribute to engineering decision-making.

Suggested Citation

  • Dawei Liu & Zhigen Hu & Wencheng Guo, 2018. "Multi-Attribute Group-Decision on a Construction Diversion Scheme for Hydropower Projects Based on Perception Utility," Energies, MDPI, vol. 11(11), pages 1-12, November.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:11:p:3027-:d:180486
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    1. Chib, Siddhartha & Greenberg, Edward, 1996. "Markov Chain Monte Carlo Simulation Methods in Econometrics," Econometric Theory, Cambridge University Press, vol. 12(3), pages 409-431, August.
    2. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    3. Loomes, Graham & Sugden, Robert, 1982. "Regret Theory: An Alternative Theory of Rational Choice under Uncertainty," Economic Journal, Royal Economic Society, vol. 92(368), pages 805-824, December.
    4. Bryson, Noel & Mobolurin, Ayodele, 1997. "An action learning evaluation procedure for multiple criteria decision making problems," European Journal of Operational Research, Elsevier, vol. 96(2), pages 379-386, January.
    5. Dhami, Sanjit & al-Nowaihi, Ali, 2007. "Why do people pay taxes? Prospect theory versus expected utility theory," Journal of Economic Behavior & Organization, Elsevier, vol. 64(1), pages 171-192, September.
    6. David E. Bell, 1982. "Regret in Decision Making under Uncertainty," Operations Research, INFORMS, vol. 30(5), pages 961-981, October.
    7. George Wu & Richard Gonzalez, 1996. "Curvature of the Probability Weighting Function," Management Science, INFORMS, vol. 42(12), pages 1676-1690, December.
    8. Drazen Prelec, 1998. "The Probability Weighting Function," Econometrica, Econometric Society, vol. 66(3), pages 497-528, May.
    9. Ritov, Ilana, 1996. "Probability of Regret: Anticipation of Uncertainty Resolution in Choice," Organizational Behavior and Human Decision Processes, Elsevier, vol. 66(2), pages 228-236, May.
    10. Zeelenberg, M., 1999. "Anticipated regret, expected feedback and behavioral decision-making," Other publications TiSEM 38371d1b-31fd-45b0-860f-b, Tilburg University, School of Economics and Management.
    11. Carlos Laciana & Elke Weber, 2008. "Correcting expected utility for comparisons between alternative outcomes: A unified parameterization of regret and disappointment," Journal of Risk and Uncertainty, Springer, vol. 36(1), pages 1-17, February.
    12. Amin Rasekh & Abbas Afshar & Mohammad Afshar, 2010. "Risk-Cost Optimization of Hydraulic Structures: Methodology and Case Study," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(11), pages 2833-2851, September.
    13. Michael Kilka & Martin Weber, 2001. "What Determines the Shape of the Probability Weighting Function Under Uncertainty?," Management Science, INFORMS, vol. 47(12), pages 1712-1726, December.
    14. Nicholas Barberis & Ming Huang & Tano Santos, 2001. "Prospect Theory and Asset Prices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 1-53.
    15. Madlener, Reinhard & Antunes, Carlos Henggeler & Dias, Luis C., 2009. "Assessing the performance of biogas plants with multi-criteria and data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 197(3), pages 1084-1094, September.
    16. al-Nowaihi, Ali & Bradley, Ian & Dhami, Sanjit, 2008. "A note on the utility function under prospect theory," Economics Letters, Elsevier, vol. 99(2), pages 337-339, May.
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    Cited by:

    1. Ahmad Sharafati & Siyamak Doroudi & Shamsuddin Shahid & Ali Moridi, 2021. "A Novel Stochastic Approach for Optimization of Diversion System Dimension by Considering Hydrological and Hydraulic Uncertainties," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(11), pages 3649-3677, September.
    2. Zida Song & Quan Liu & Zhigen Hu & Chunsheng Zhang & Jinming Ren & Zhexin Wang & Jianhai Tian, 2020. "Construction Diversion Risk Assessment for Hydropower Development on Sediment-Rich Rivers," Energies, MDPI, vol. 13(4), pages 1-20, February.

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