Advances in Multiple Criteria Decision Making for Sustainability: Modeling and Applications

Kao-Yi Shen and Gwo-Hshiung Tzeng
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Kao-Yi Shen: Department of Banking and Finance, Chinese Culture University (SCE), Taipei 11114, Taiwan
Gwo-Hshiung Tzeng: Graduate Institute of Urban Planning, National Taipei University, New Taipei City 23741, Taiwan

Sustainability, 2018, vol. 10, issue 5, 1-7

Abstract: With the surging complexity of real-world problems in important domains such as sustainability, there is a need to leverage advanced modern computational methods or intelligent techniques to support decisions or policy-making. In this Special Issue, 15 selected and formally peer-reviewed papers contribute their novelty and findings, by applying various advanced decision methods or computational techniques to resolve different sustainability problems. Despite the innovations of the proposed models, most of the selected papers involve domain expert’s opinions and knowledge with in-depth discussions. These case studies enrich the practical contributions of this Special Issue.

Keywords: sustainable development; multiple criteria decision making (MCDM); problem-solving; optimization; decision aid; computational intelligence; machine learning (ML); artificial intelligence (AI); soft computing; fuzzy sets; rough set theory (RST) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:10:y:2018:i:5:p:1600-:d:146719

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