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Titlebook: Soft Computing for Sustainability Science; Carlos Cruz Corona Book 2018 Springer International Publishing AG 2018 Global Temperature Rise.

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楼主: 贫血
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FuzzyCovering: A Spatial Decision Support System for Solving Fuzzy Covering Location Problems, integrates a fuzzy approach in which the problem constraints can be imprecisely defined. A detailed description of the architecture and functionality of the system is presented, and a simulated practical case of a maximal covering location problem with fuzzy constraints is shown to demonstrate the benefits of FuzzyCovering.
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Book 2018ectric energy consumption; fault diagnosis; vessel fuel consumption; determining the best sites for new malls; maritime port projects; and ad-hoc vehicular networks. Further, it demonstrates how metaheuristics and machine learning methods, fuzzy linear programming, neural networks, computing with wo
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1434-9922 roblems, with a special focus on sustainability.Describes a .This book offers a timely snapshot of soft computing methodologies and their applications to various problems related to sustainability, including electric energy consumption; fault diagnosis; vessel fuel consumption; determining the best
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Book 2018r students, researchers, and professionals working at the interface between computer science, industrial engineering, naval engineering, agriculture, and sustainable development / climate change research, it provides readers with a set of intelligent solutions, helping them answer a range of emerging questions related to sustainability.. . .
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Consumer Segmentation Through Multi-instance Clustering Time-Series Energy Data from Smart Meters,onsists of instances, where each instance will represent a day or a month of consumption. Internal indices were used for evaluating our clustering process. The obtained results are general applicable, and will be useful in a general business analytics context.
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A Linguistic 2-Tuple Based Environmental Impact Assessment for Maritime Port Projects: Application ertainty of criteria involved in an EIA problem by simplifying the sophisticated structure of the problem under consideration while computations are made without loss of information and provide a high interpretability of the EIA results.
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978-3-319-87300-8Springer International Publishing AG 2018
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