Intelligence Systems in Environmental Management: Theory and Applications by Cengiz Kahraman
This book offers a comprehensive reference guide to intelligence systems in environmental management. It provides readers with all the necessary tools for solving complex environmental problems, where classical techniques cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including ant colony, genetic algorithms, evolutionary algorithms, fuzzy multi-criteria decision making tools, particle swarm optimization, agent-based modelling, artificial neural networks, simulated annealing, Tabu search, fuzzy multi-objective optimization, fuzzy rules, support vector machines, fuzzy cognitive maps, cumulative belief degrees, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on complex environmental problems. Moreover, by extending all the main aspects of classical environmental solution techniques to its intelligent counterpart, the book presents a dynamic snapshot on the field that is expected to stimulate new directions and stimulate new ideas and developments.
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Introduction to Probabilistic and Statistical Methods with Examples in R
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Advances in Intelligent Healthcare Delivery and Management
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Artificial Intelligence in Prescriptive Analytics
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Smart Business Models for Sustainability in Circular and Climate Neutral Economy
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Recent Advances in Artificial Neural Networks
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Advances in Intelligent Disease Diagnosis and Treatment
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Engineering and Management of Data Science, Analytics, and AI/ML Projects
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Fractional Modeling and Controller Design of Robotic Manipulators
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Algebraic Identification of Smart Systems
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Computational Geometry, Topology and Physics of Digital Images with Applications
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Signal Processing Techniques for Computational Health Informatics
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Generative Adversarial Learning: Architectures and Applications
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Gender in AI and Robotics
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An Introduction to Computing with Fuzzy Sets
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Recent Advances in Blockchain Technology
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Nature-Inspired Optimization Methodologies in Biomedical and Healthcare
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Topics in Rough Set Theory
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Advances in Data Science: Methodologies and Applications
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New Trends and Applications in Internet of Things (IoT) and Big Data Analytics
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A Few Things I Know About Her
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Bio-inspiring Cyber Security and Cloud Services: Trends and Innovations
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Innovations in Big Data Mining and Embedded Knowledge
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Intelligent Systems for Sustainable Person-Centered Healthcare
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A Handbook of Internet of Things in Biomedical and Cyber Physical System
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The Temporal Structure of Multimodal Communication
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Support Vector Machines and Evolutionary Algorithms for Classification
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Extended Reality Usage During COVID 19 Pandemic
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Deep Learners and Deep Learner Descriptors for Medical Applications
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Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms
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Intelligent Decision Support SystemsA Journey to Smarter Healthcare
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Handbook on Neural Information Processing
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Decision Making with Imperfect Decision Makers
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Machine Learning in Healthcare Informatics
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Developments and Challenges for Autonomous Unmanned Vehicles
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Collaborative Assistive Robot for Mobility Enhancement (CARMEN)
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Advances in Reasoning-Based Image Processing Intelligent Systems
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Intelligent Systems in Digital Transformation
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Decision Making with Spherical Fuzzy Sets
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Production Engineering and Management under Fuzziness
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Supply Chain Management Under Fuzziness
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Computational Intelligence Systems in Industrial Engineering
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Intelligent and Fuzzy Systems
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Intelligent Decision Making in Quality Management
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Fuzzy Logic in Its 50th Year
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Customer Oriented Product Design
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Fuzzy Multi-criteria Decision-Making Using Neutrosophic Sets
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Fuzzy Statistical Decision-Making
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Intelligent and Fuzzy Techniques in Aviation 4.0
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Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation
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Fuzzy Multi-Criteria Decision Making
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Operations Research Applications in Health Care Management
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Fuzzy Engineering Economics with Applications
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Intelligent Techniques in Engineering Management
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Toward Humanoid Robots: The Role of Fuzzy Sets
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Analytic Hierarchy Process with Fuzzy Sets Extensions
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Energy Management—Collective and Computational Intelligence with Theory and Applications
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Fuzzy Applications in Industrial Engineering
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Energy ManagementCollective and Computational Intelligence with Theory and Applications
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Fuzzy Investment Decision Making with Examples
Dr. Eda Bolturk received her BSc degree in Industrial Engineering from Istanbul Commerce University and her MSc degree in Industrial Engineering from Istanbul Technical University. She was a Ph.D. student at Politecnico di Milano in Energy Department in Italy between 2013 and 2014. She received her Ph.D. degree in Industrial Engineering from Istanbul Technical University on fuzzy decision making. Her research areas are fuzzy logic, decision making, forecasting and risk management. She published more than 50 papers in international journals and chapters in international books. She organized some international conferences on fuzzy logic.
| SKU | Unavailable |
| ISBN 13 | 9783319827124 |
| ISBN 10 | 331982712X |
| Title | Intelligence Systems in Environmental Management: Theory and Applications |
| Author | Cengiz Kahraman |
| Series | Intelligent Systems Reference Library |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer International Publishing AG |
| Year published | 2018-06-14 |
| Number of pages | 468 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |