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Robust Priority for Strategic Environmental Assessment with Incomplete Information Using Multi-Criteria Decision Making Analysis

Author

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  • Daeryong Park

    (Department of Civil and Environmental System Engineering, Konkuk University, Seoul 143-701, Korea)

  • Yeonjoo Kim

    (Department of Civil and Environmental Engineering, Yonsei University, Seoul 120-749, Korea)

  • Myoung-Jin Um

    (Department of Civil and Environmental Engineering, Yonsei University, Seoul 120-749, Korea)

  • Sung-Uk Choi

    (Department of Civil and Environmental Engineering, Yonsei University, Seoul 120-749, Korea)

Abstract

This study investigates how the priority rankings for dam construction sites vary with multi-criteria decision making (MCDM) techniques and generation approaches for incomplete information. Strategic environmental assessment (SEA) seeks to recommend sustainable dam construction sites based on their environmental and ecological impacts in a long-term plan for dam construction (LPDC) in South Korea. However, if specific information is missing, the SEA is less useful for choosing a dam construction site. In this study, we applied AHP, ELECTRE III, PROMETHEE II and Compromise Programming as MCDM techniques, and used binomial and uniform distributions to generate missing information. We considered five dam site selection situations and compared the results as they depended on both MCDM techniques and information generation methods. The binomial generation method showed the most obvious priorities. All MCDM techniques showed similar priorities in the dam site selection results except for ELECTREE III. The results demonstrate that selecting an appropriate MCDM technique is more important than the data generation method. However, using binomial distribution to generate missing information is more effective in providing a robust priority than uniform distribution, which is a commonly used technique.

Suggested Citation

  • Daeryong Park & Yeonjoo Kim & Myoung-Jin Um & Sung-Uk Choi, 2015. "Robust Priority for Strategic Environmental Assessment with Incomplete Information Using Multi-Criteria Decision Making Analysis," Sustainability, MDPI, vol. 7(8), pages 1-17, July.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:8:p:10233-10249:d:53476
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    Cited by:

    1. Daeryong Park & Myoung-Jin Um, 2018. "Robust Decision-Making Technique for Strategic Environment Assessment with Deficient Information," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(15), pages 4953-4970, December.
    2. Jiashun Huang & Weiping Li & Xijie Huang & Lijia Guo, 2017. "Analysis of the Relative Sustainability of Land Devoted to Bioenergy: Comparing Land-Use Alternatives in China," Sustainability, MDPI, vol. 9(5), pages 1-13, May.
    3. Chengpeng Lu & Bing Xue & Chenyu Lu & Ting Wang & Lu Jiang & Zilong Zhang & Wanxia Ren, 2016. "Sustainability Investigation of Resource-Based Cities in Northeastern China," Sustainability, MDPI, vol. 8(10), pages 1-16, October.
    4. Dereje Birhanu & Hyeonjun Kim & Cheolhee Jang & Sanghyun Park, 2018. "Does the Complexity of Evapotranspiration and Hydrological Models Enhance Robustness?," Sustainability, MDPI, vol. 10(8), pages 1-34, August.
    5. Beniamino Murgante & Mohamad Salmani & Mohamad Molaei Qelichi & Mehdi Hajilo, 2017. "A Multiple Criteria Decision-Making Approach to Evaluate the Sustainability Indicators in the Villagers’ Lives in Iran with Emphasis on Earthquake Hazard: A Case Study," Sustainability, MDPI, vol. 9(8), pages 1-14, August.
    6. Daeryong Park & Huan-Jung Fan & Jun-Jie Zhu & Taesoon Kim & Myoung-Jin Um & Siyeon Kim & Seol Jeon & Kichul Jung, 2021. "Prioritization in Strategic Environmental Assessment Using Fuzzy TOPSIS Method with Random Generation for Absent Information in South Korea," Sustainability, MDPI, vol. 13(3), pages 1-16, January.

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