A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Advances in Multiple Criteria Decision Making for Sustainability: Modeling and Applications
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.
Advances in Multiple Criteria Decision Making for Sustainability: Modeling and Applications
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.
Advances in Multiple Criteria Decision Making for Sustainability: Modeling and Applications
Kao-Yi Shen (author) / Gwo-Hshiung Tzeng (author)
2018
Article (Journal)
Electronic Resource
Unknown
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) , Environmental effects of industries and plants , TD194-195 , Renewable energy sources , TJ807-830 , Environmental sciences , GE1-350
Metadata by DOAJ is licensed under CC BY-SA 1.0
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