Assessing climate change vulnerability with group multi-criteria decision making approaches

Yeonjoo Kim, Eun Sung Chung

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32 Citations (Scopus)


This study developed an approach to assess the vulnerability to climate change and variability using various group multi-criteria decision-making (MCDM) methods and identified the sources of uncertainty in assessments. MCDM methods include the weighted sum method, one of the most common MCDM methods, the technique for order preference by similarity to ideal solution (TOPSIS), fuzzy-based TOPSIS, TOPSIS in a group-decision environment, and TOPSIS combined with the voting methods (Borda count and Copeland's methods). The approach was applied to a water-resource system in South Korea, and the assessment was performed at the province level by categorizing water resources into water supply and conservation, flood control and water-quality sectors according to their management objectives. Key indicators for each category were profiled with the Delphi surveys, a series of questionnaires interspersed with controlled opinion feedback. The sectoral vulnerability scores were further aggregated into one composite score for water-resource vulnerability. Rankings among different MCDM methods varied in different degrees, but noticeable differences in the rankings from the fuzzy- and non-fuzzy-based methods suggested that the uncertainty with crisp data, rather widely used, should be acknowledged in vulnerability assessment. Also rankings from the voting-based methods did not differ much from those from non-voting-based (i.e., average-based) methods. Vulnerability rankings varied significantly among the different sectors of the water-resource systems, highlighting the need to assess the vulnerability of water-resource systems according to objectives, even though one composite index is often used for simplicity.

Original languageEnglish
Pages (from-to)301-315
Number of pages15
JournalClimatic Change
Issue number2
Publication statusPublished - 2013 Nov

Bibliographical note

Funding Information:
Acknowledgments This study was supported by grants from the Climate Change Correspondence R&D Program funded by Korea Ministry of Environment (RE201206045) and the Advanced Water Management Research Program funded by Korea Ministry of Land, Infrastructure and Transport (12-TI-C01)

All Science Journal Classification (ASJC) codes

  • Global and Planetary Change
  • Atmospheric Science


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