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Author: Zekai Sen
Publisher: CRC Press
ISBN: 1439809402
Category : Science
Languages : en
Pages : 354
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Book Description
The hydrological sciences typically present grey or fuzzy information, making them quite messy and a choice challenge for fuzzy logic application. Providing readers with the first book to cover fuzzy logic modeling as it relates to water science, the author takes an approach that incorporates verbal expert views and other parameters that allow
Author: Zekai Sen
Publisher: CRC Press
ISBN: 1439809402
Category : Science
Languages : en
Pages : 354
Get Book Here
Book Description
The hydrological sciences typically present grey or fuzzy information, making them quite messy and a choice challenge for fuzzy logic application. Providing readers with the first book to cover fuzzy logic modeling as it relates to water science, the author takes an approach that incorporates verbal expert views and other parameters that allow
Author: Renji Remesan
Publisher: Springer
ISBN: 3319092359
Category : Science
Languages : en
Pages : 261
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Book Description
This book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state-of-the-art input selection methods on the basis of detailed and comprehensive experimentation and comparative studies that employ emerging hybrid techniques for modeling and analysis. Advanced computing offers a range of new options for hydrologic modeling with the help of mathematical and data-based approaches like wavelets, neural networks, fuzzy logic, and support vector machines. Recently machine learning/artificial intelligence techniques have come to be used for time series modeling. However, though initial studies have shown this approach to be effective, there are still concerns about their accuracy and ability to make predictions on a selected input space.
Author: Paresh Chandra Deka
Publisher:
ISBN: 9783846542248
Category :
Languages : en
Pages : 184
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Book Description
Author: Zekai Şen
Publisher: Su Vakfı
ISBN: 9756455632
Category : Science
Languages : en
Pages : 204
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Book Description
FUZZY LOGIC AND SYSTEM MODELS IN WATER SCIENCES Kitabı İçindekiler Introduction Fuzzy Sets and Water Sciences Fuzzy Relationships in Water Sciences Approximate Reasoning Fuzzy Logic System Models Applications in Hydrology
Author: Zekai Şen
Publisher:
ISBN: 9789756455142
Category : Fuzzy logic
Languages : en
Pages : 315
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Book Description
Author: Xing Cai
Publisher: Springer
ISBN: 3540753842
Category : Science
Languages : en
Pages : 225
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Book Description
In this rapidly evolving world of knowledge and technology, do you ever wonder how hydrology is catching up? Here, two highly qualified scientists edit a volume that takes the angle of computational hydrology and envision one of the science’s future directions – namely, the quantitative integration of high-quality hydrologic field data with geologic, hydrologic, chemical, atmospheric, and biological information to characterize and predict natural systems in hydrological sciences.
Author: Ishtiyaq Ahmad
Publisher: LAP Lambert Academic Publishing
ISBN: 9783847305415
Category :
Languages : en
Pages : 72
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Book Description
India is bestowed with rich water resources; rainfall is one of the main sources of water. Because of time and spatial variability of rainfall, a number of dams have been constructed all over the country to tap the available water resources so that this water can be utilized in accordance with the requirements of mankind. Proper management of the reservoirs is required for the efficient use of available water resources. Reservoir operation plays a vital role in planning and management of water resources system. Modeling of a rainfall-runoff is gaining a fast momentum for hydrological and water management studies. This evolution provides the mankind with new possibilities to efficiently use the available water. In this study rainfall-runoff model for three reservoirs, namely Ravishankar Sagar, Murumsilli and Dudhawa reservoirs of MRP Project has been developed, for the available data of 17 years, by the application of fuzzy logic. Fuzzified runoff results from the model are compared with linear regression by calculating the relative error with reference to the observed runoff. It has been found that fuzzy logic based rainfall-runoff model performs better than linear regression model
Author: Robert V. Demicco
Publisher: Elsevier
ISBN: 0080521894
Category : Computers
Languages : en
Pages : 374
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Book Description
What is fuzzy logic?--a system of concepts and methods for exploring modes of reasoning that are approximate rather than exact. While the engineering community has appreciated the advances in understanding using fuzzy logic for quite some time, fuzzy logic's impact in non-engineering disciplines is only now being recognized. The authors of Fuzzy Logic in Geology attend to this growing interest in the subject and introduce the use of fuzzy set theory in a style geoscientists can understand. This is followed by individual chapters on topics relevant to earth scientists: sediment modeling, fracture detection, reservoir characterization, clustering in geophysical data analysis, ground water movement, and time series analysis. George Klir is the Distinguished Professor of Systems Science and Director of the Center for Intelligent Systems, Fellow of the IEEE and IFSA, editor of nine volumes, editorial board member of 18 journals, and author or co-author of 16 booksForeword by the inventor of fuzzy logic-- Professor Lotfi Zadeh
Author: Andras - Bardossy
Publisher: CRC Press
ISBN: 0429610866
Category : Technology & Engineering
Languages : en
Pages : 245
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Book Description
This book presents in a systematic and comprehensive manner the modeling of uncertainty, vagueness, or imprecision, alias "fuzziness," in just about any field of science and engineering. It delivers a usable methodology for modeling in the absence of real-time feedback. The book includes a short introduction to fuzzy logic containing basic definitions of fuzzy set theory and fuzzy rule systems. It describes methods for the assessment of rule systems, systems with discrete response sets, for modeling time series, for exact physical systems, examines verification and redundancy issues, and investigates rule response functions. Definitions and propositions, some of which have not been published elsewhere, are provided; numerous examples as well as references to more elaborate case studies are also given. Fuzzy rule-based modeling has the potential to revolutionize fields such as hydrology because it can handle uncertainty in modeling problems too complex to be approached by a stochastic analysis. There is also excellent potential for handling large-scale systems such as regionalization or highly non-linear problems such as unsaturated groundwater pollution.
Author: András Bárdossy
Publisher:
ISBN: 9780138755133
Category : TECHNOLOGY
Languages : en
Pages : 0
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Book Description
This book presents in a systematic and comprehensive manner the modeling of uncertainty, vagueness, or imprecision, alias "fuzziness," in just about any field of science and engineering. It delivers a usable methodology for modeling in the absence of real-time feedback.The book includes a short introduction to fuzzy logic containing basic definitions of fuzzy set theory and fuzzy rule systems. It describes methods for the assessment of rule systems, systems with discrete response sets, for modeling time series, for exact physical systems, examines verification and redundancy issues, and investigates rule response functions.Definitions and propositions, some of which have not been published elsewhere, are provided; numerous examples as well as references to more elaborate case studies are also given. Fuzzy rule-based modeling has the potential to revolutionize fields such as hydrology because it can handle uncertainty in modeling problems too complex to be approached by a stochastic analysis. There is also excellent potential for handling large-scale systems such as regionalization or highly non-linear problems such as unsaturated groundwater pollution.
