Affiliations: [a] Department of Industrial Engineering and Enterprise Information, Tunghai University, Taichung, Taiwan
| [b] Department of Computer Science and Information Management, Hungkuang University, Taichung, Taiwan
| [c] Department of Multimedia Game Development and Application, Hungkuang University, Taichung, Taiwan
| [d] Industrial & Systems Engineering Department, De La Salle University, Manila, Philippines
Correspondence:
[*]
Corresponding author. Kuo-Chen Hung, Department of Computer Science and Information Management, Hungkuang University, No. 1018, Sec. 6, Taiwan Boulevard, Shalu District, Taichung City 43302, Taiwan. Tel.: +886 4 26318652/Ext. 5411; Fax: +886 4 26521921; E-mail: kchung@hk.edu.tw.
Abstract: With the economic growth of the world, sustainable development is a popular issue in recent years. Sustainable assessment is an important part of sustainable development. There are many previous scholars have used multiple-criteria decision-making (MCDM) to develop different evaluation frameworks in different fields. Elimination et Choix Traduisant la Realite II (ELECTRE II) is one of the most commonly used methods for MCDM. ELECTRE II uses alternatives, criteria, and criteria weighting from decision-makers to calculate the concordance and discordance indices. These two indices are used to rank the alternatives. The concordance and discordance indices in ELECTRE II are important because they are the key to make accurate decisions. Previous scholars have failed to make comprehensive calculations for these indices, nor make their units of measure comparable, which negatively affected their results. This study improved the approach in calculating these indices and illustrated it using three case studies: (1) university examination results, (2) a sustainability assessment of groundwater remediation and (3) an assessment of power generation technologies. This improved ELECTRE II method offers decision-makers an objective basis for decision-making.
Keywords: Sustainability assessment, multiple-criteria decision-making, ELECTRE II, decision analysis
