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Intelligence Systems in Environmental Management.

By: Kahraman, Cengiz.
Contributor(s): Ucal Sari, İrem.
Material type: TextTextSeries: eBooks on Demand.Intelligent Systems Reference Library: Publisher: Cham : Springer International Publishing, 2016Description: 1 online resource (468 p.).ISBN: 9783319429939.Subject(s): Environmental managementGenre/Form: Electronic books.Additional physical formats: Print version:: Intelligence Systems in Environmental Management: Theory and ApplicationsDDC classification: 620 Online resources: Click here to view this ebook.
Contents:
Preface -- Contents -- 1 Introduction to Intelligence Techniques in Environmental Management -- Abstract -- 1.1 Introduction -- 1.2 Environmental Management -- 1.2.1 Carbon Management -- 1.2.2 Soil Degradation and Management -- 1.2.3 Disaster Response and Management -- 1.2.4 Solid Waste Management -- 1.2.5 Wastewater Management -- 1.2.6 Water Resources Management -- 1.2.7 Sustainable Transportation -- 1.2.8 Hazardous Waste Management -- 1.2.9 Air Quality Management -- 1.2.10 Energy Management -- 1.3 Intelligent Systems Classification -- 1.3.1 Particle Swarm Optimization
1.3.2 Genetic Algorithms -- 1.3.3 Fuzzy Sets -- 1.3.4 Ant Colony Optimization -- 1.3.5 Bee Colony Optimization -- 1.3.6 Neural Networks -- 1.3.7 Simulated Annealing -- 1.3.8 Tabu Search -- 1.3.9 Swarm Intelligence -- 1.3.10 Differential Evolution -- 1.3.11 Evolutionary Algorithms -- 1.4 Literature Review -- 1.5 Future Trends -- 1.6 Conclusion -- References -- Waste Management -- 2 An Intuitionistic Fuzzy MCDM Approach for Effective Hazardous Waste Management -- Abstract -- 2.1 Introduction -- 2.2 Literature Review -- 2.2.1 Hazardous Waste Management -- 2.2.2 IF TOPSIS Literature
2.3 IF TOPSIS Methodology -- 2.3.1 Intuitionistic Fuzzy Sets -- 2.3.2 Proposed Computational Steps -- 2.4 Case Study -- 2.4.1 Company Background -- 2.4.2 Implementation of the Proposed Methodology -- 2.5 Conclusion -- Acknowledgments -- References -- 3 Intelligent Optimization of Wastewater Collection Networks -- Abstract -- 3.1 Introduction -- 3.2 Sewer Layout Design -- 3.2.1 Basic Graph Theory -- 3.2.2 Sewer Layout Constraints -- 3.2.3 Loop by Loop Algorithm -- 3.3 Sewer Sizing -- 3.3.1 Sewer Hydraulics -- 3.3.2 Self-adaptive Sewer Sizing Algorithm -- 3.4 Design Objective Functions
3.5 Optimization Methods -- 3.5.1 Genetic Algorithm (GA) -- 3.5.2 Simulated Annealing (SA) -- 3.5.3 Particle Swarm Optimization (PSO) -- 3.5.4 Tabu Search (TS) -- 3.6 Summary and Conclusion -- References -- 4 A Norm-Aware Multi-agent System for Social Simulations in a River Basin -- Abstract -- 4.1 Introduction -- 4.2 Methodology -- 4.2.1 Schema of Wastewater Flows in the Case Study -- 4.3 Tragedy of the Commons -- 4.3.1 Designing Institutions for CPR -- 4.4 Wastewater Systems' Organizational Model -- 4.4.1 Social Structure -- 4.4.2 Interaction Structure -- 4.4.3 Social Model
4.5 Agents: Behavior and Decision-Making -- 4.6 Norms -- 4.6.1 Obligation Prospective Add -- 4.6.2 Obligation Prospective Remove -- 4.7 Conclusions and Related Work -- Acknowledgments -- References -- 5 Decision Making in Solid Waste Management Under Fuzzy Environment -- Abstract -- 5.1 Introduction -- 5.2 Methodology-Fuzzy Multi-objective LP -- 5.2.1 The Interactive Fuzzy Multi-objective Approach -- 5.3 The Experimental Study -- 5.3.1 Mathematical Model -- 5.3.2 Data Acquisition -- 5.3.3 An Interactive Fuzzy Application in Multi-objective Programming -- 5.4 Conclusion -- References
Disaster Response Management
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Item type Current location Call number URL Status Date due Barcode
Electronic Book UT Tyler Online
Online
TA1-2040 (Browse shelf) http://uttyler.eblib.com/patron/FullRecord.aspx?p=4673260 Available EBL4673260

Preface -- Contents -- 1 Introduction to Intelligence Techniques in Environmental Management -- Abstract -- 1.1 Introduction -- 1.2 Environmental Management -- 1.2.1 Carbon Management -- 1.2.2 Soil Degradation and Management -- 1.2.3 Disaster Response and Management -- 1.2.4 Solid Waste Management -- 1.2.5 Wastewater Management -- 1.2.6 Water Resources Management -- 1.2.7 Sustainable Transportation -- 1.2.8 Hazardous Waste Management -- 1.2.9 Air Quality Management -- 1.2.10 Energy Management -- 1.3 Intelligent Systems Classification -- 1.3.1 Particle Swarm Optimization

1.3.2 Genetic Algorithms -- 1.3.3 Fuzzy Sets -- 1.3.4 Ant Colony Optimization -- 1.3.5 Bee Colony Optimization -- 1.3.6 Neural Networks -- 1.3.7 Simulated Annealing -- 1.3.8 Tabu Search -- 1.3.9 Swarm Intelligence -- 1.3.10 Differential Evolution -- 1.3.11 Evolutionary Algorithms -- 1.4 Literature Review -- 1.5 Future Trends -- 1.6 Conclusion -- References -- Waste Management -- 2 An Intuitionistic Fuzzy MCDM Approach for Effective Hazardous Waste Management -- Abstract -- 2.1 Introduction -- 2.2 Literature Review -- 2.2.1 Hazardous Waste Management -- 2.2.2 IF TOPSIS Literature

2.3 IF TOPSIS Methodology -- 2.3.1 Intuitionistic Fuzzy Sets -- 2.3.2 Proposed Computational Steps -- 2.4 Case Study -- 2.4.1 Company Background -- 2.4.2 Implementation of the Proposed Methodology -- 2.5 Conclusion -- Acknowledgments -- References -- 3 Intelligent Optimization of Wastewater Collection Networks -- Abstract -- 3.1 Introduction -- 3.2 Sewer Layout Design -- 3.2.1 Basic Graph Theory -- 3.2.2 Sewer Layout Constraints -- 3.2.3 Loop by Loop Algorithm -- 3.3 Sewer Sizing -- 3.3.1 Sewer Hydraulics -- 3.3.2 Self-adaptive Sewer Sizing Algorithm -- 3.4 Design Objective Functions

3.5 Optimization Methods -- 3.5.1 Genetic Algorithm (GA) -- 3.5.2 Simulated Annealing (SA) -- 3.5.3 Particle Swarm Optimization (PSO) -- 3.5.4 Tabu Search (TS) -- 3.6 Summary and Conclusion -- References -- 4 A Norm-Aware Multi-agent System for Social Simulations in a River Basin -- Abstract -- 4.1 Introduction -- 4.2 Methodology -- 4.2.1 Schema of Wastewater Flows in the Case Study -- 4.3 Tragedy of the Commons -- 4.3.1 Designing Institutions for CPR -- 4.4 Wastewater Systems' Organizational Model -- 4.4.1 Social Structure -- 4.4.2 Interaction Structure -- 4.4.3 Social Model

4.5 Agents: Behavior and Decision-Making -- 4.6 Norms -- 4.6.1 Obligation Prospective Add -- 4.6.2 Obligation Prospective Remove -- 4.7 Conclusions and Related Work -- Acknowledgments -- References -- 5 Decision Making in Solid Waste Management Under Fuzzy Environment -- Abstract -- 5.1 Introduction -- 5.2 Methodology-Fuzzy Multi-objective LP -- 5.2.1 The Interactive Fuzzy Multi-objective Approach -- 5.3 The Experimental Study -- 5.3.1 Mathematical Model -- 5.3.2 Data Acquisition -- 5.3.3 An Interactive Fuzzy Application in Multi-objective Programming -- 5.4 Conclusion -- References

Disaster Response Management

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