Search Results for: decision making and soft computing

Decision Making And Soft Computing

Decision Making and Soft Computing PDF
Author: Ronei Marcos de Moraes
Publisher: World Scientific
Size: 74.89 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 780
View: 1595

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Decision Making And Soft Computing Book Description

by Ronei Marcos de Moraes, Decision Making And Soft Computing Books available in PDF, EPUB, Mobi Format. Download Decision Making And Soft Computing books, FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Computational Intelligence for applied research. The contributions to the 11th of FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, both from the foundations and the applications points-of-view. Contents:Invited Lectures:The Contribution of Fuzzy Sets to Decision Sciences (D Dubois)Granular Fuzzy Systems: A New Direction in Soft Computing and Human Centric Decision-Making (Witold Pedrycz)Some Approaches Towards Lattice Computing in Mathematical Morphology and Computational Intelligence (Peter Sussner)Decision Making and Decision Support SystemsStatistics, Data Analysis and Data MiningFoundations of Computational IntelligenceSoft Computing and Applied ResearchIntelligent Systems and Knowledge EngineeringUncertainty ModelingIntelligent Information Processing Readership: Graduate students, researchers, and academics in artificial intelligence/machine learning, information management, decision sciences, databases/information sciences and fuzzy logic. Keywords:FLINS 2014;Soft Computing;Knowledge Engineering;Decision Making


Soft Computing Applications For Group Decision Making And Consensus Modeling

Soft Computing Applications for Group Decision making and Consensus Modeling PDF
Author: Mikael Collan
Publisher: Springer
Size: 52.35 MB
Format: PDF
Category : Computers
Languages : en
Pages : 488
View: 3269

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Soft Computing Applications For Group Decision Making And Consensus Modeling Book Description

by Mikael Collan, Soft Computing Applications For Group Decision Making And Consensus Modeling Books available in PDF, EPUB, Mobi Format. Download Soft Computing Applications For Group Decision Making And Consensus Modeling books, This book offers a concise introduction and comprehensive overview of the state of the art in the field of decision-making and consensus modeling, with a special emphasis on fuzzy methods. It consists of a collection of authoritative contributions reporting on the decision-making process from different perspectives: from psychology to social and political sciences, from decision sciences to data mining, and from computational sciences in general, to artificial and computational intelligence and systems. Written as a homage to Mario Fedrizzi for his scholarly achievements, creative ideas and long lasting services to different scientific communities, it introduces key theoretical concepts, describes new models and methods, and discusses a range of promising real-world applications in the field of decision-making science. It is a timely reference guide and a source of inspiration for advanced students and researchers


Fuzzy And Multi Level Decision Making Soft Computing Approaches

Fuzzy and Multi Level Decision Making  Soft Computing Approaches PDF
Author: Chi-Bin Cheng
Publisher: Springer
Size: 36.26 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 219
View: 4564

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Fuzzy And Multi Level Decision Making Soft Computing Approaches Book Description

by Chi-Bin Cheng, Fuzzy And Multi Level Decision Making Soft Computing Approaches Books available in PDF, EPUB, Mobi Format. Download Fuzzy And Multi Level Decision Making Soft Computing Approaches books, This book offers a comprehensive overview of cutting-edge approaches for decision-making in hierarchical organizations. It presents soft-computing-based techniques, including fuzzy sets, neural networks, genetic algorithms and particle swarm optimization, and shows how these approaches can be effectively used to deal with problems typical of this kind of organization. After introducing the main classical approaches applied to multiple-level programming, the book describes a set of soft-computing techniques, demonstrating their advantages in providing more efficient solutions to hierarchical decision-making problems compared to the classical methods. Based on the book Fuzzy and Multi-Level Decision Making (Springer, 2001) by Lee E.S and Shih, H., this second edition has been expanded to include the most recent findings and methods and a broader spectrum of soft computing approaches. All the algorithms are presented in detail, together with a wealth of practical examples and solutions to real-world problems, providing students, researchers and professionals with a timely, practice-oriented reference guide to the area of interactive fuzzy decision making, multi-level programming and hierarchical optimization.


Soft Computing For Complex Multiple Criteria Decision Making

Soft Computing for Complex Multiple Criteria Decision Making PDF
Author: Ignacy Kaliszewski
Publisher: Springer Science & Business Media
Size: 39.79 MB
Format: PDF, Kindle
Category : Business & Economics
Languages : en
Pages : 172
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Soft Computing For Complex Multiple Criteria Decision Making Book Description

by Ignacy Kaliszewski, Soft Computing For Complex Multiple Criteria Decision Making Books available in PDF, EPUB, Mobi Format. Download Soft Computing For Complex Multiple Criteria Decision Making books, This book concentrates on providing technical tools to make the user of Multiple Criteria Decision Making (MCDM) methodologies independent of bulky optimization computations. These bulky computations have been a necessary, but limiting, characteristic of interactive MCDM methodologies and algorithms. The book removes these limitations of MCDM problems by reducing a problem's computational complexity. The result is a wider and more functional general framework for presenting, teaching, implementing and applying a wide range of MCDM methodologies.


Perception Based Data Mining And Decision Making In Economics And Finance

Perception based Data Mining and Decision Making in Economics and Finance PDF
Author: Ildar Batyrshin
Publisher: Springer Science & Business Media
Size: 42.67 MB
Format: PDF
Category : Computers
Languages : en
Pages : 367
View: 825

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Perception Based Data Mining And Decision Making In Economics And Finance Book Description

by Ildar Batyrshin, Perception Based Data Mining And Decision Making In Economics And Finance Books available in PDF, EPUB, Mobi Format. Download Perception Based Data Mining And Decision Making In Economics And Finance books, The primary goal of this book is to present to the scientific and management communities a selection of applications using recent Soft Computing (SC) and Computing with Words and Perceptions (CWP) models and techniques meant to solve some economics and financial problems that are of utmost importance. The book starts with a coverage of data mining tools and techniques that may be of use and significance for economic and financial analyses and applications. Notably, fuzzy and natural language based approaches and solutions for a more human consistent dealing with decision support, time series analysis, forecasting, clustering, etc. are discussed. The second part deals with various decision making models, particularly under probabilistic and fuzzy uncertainty, and their applications in solving a wide array of problems including portfolio optimization, option pricing, financial engineering, risk analysis etc. The selected examples could also serve as a starting point or as an opening out, in the SC and CWP techniques application to a wider range of problems in economics and finance.


Fuzzy Reasoning In Decision Making And Optimization

Fuzzy Reasoning in Decision Making and Optimization PDF
Author: Christer Carlsson
Publisher: Physica
Size: 45.97 MB
Format: PDF, Mobi
Category : Business & Economics
Languages : en
Pages : 338
View: 2013

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Fuzzy Reasoning In Decision Making And Optimization Book Description

by Christer Carlsson, Fuzzy Reasoning In Decision Making And Optimization Books available in PDF, EPUB, Mobi Format. Download Fuzzy Reasoning In Decision Making And Optimization books, Many decision-making tasks are too complex to be understood quantitatively, however, humans succeed by using knowledge that is imprecise rather than precise. Fuzzy logic resembles human reasoning in its use of imprecise informa tion to generate decisions. Unlike classical logic which requires a deep under standing of a system, exact equations, and precise numeric values, fuzzy logic incorporates an alternative way of thinking, which allows modeling complex systems using a higher level of abstraction originating from our knowledge and experience. Fuzzy logic allows expressing this knowledge with subjective concepts such as very big and a long time which are mapped into exact numeric ranges. Since knowledge can be expressed in a more natural by using fuzzy sets, many decision (and engineering) problems can be greatly simplified. Fuzzy logic provides an inference morphology that enables approximate human reasoning capabilities to be applied to knowledge-based systems. The theory of fuzzy logic provides a mathematical strength to capture the un certainties associated with human cognitive processes, such as thinking and reasoning. The conventional approaches to knowledge representation lack the means for representating the meaning of fuzzy concepts. As a consequence, the approaches based on first order logic do not provide an appropriate con ceptual framework for dealing with the representation of commonsense knowl edge, since such knowledge is by its nature both lexically imprecise and non categorical.


Advanced Optimization And Decision Making Techniques In Textile Manufacturing

Advanced Optimization and Decision Making Techniques in Textile Manufacturing PDF
Author: Anindya Ghosh
Publisher: CRC Press
Size: 37.85 MB
Format: PDF, ePub
Category : Technology & Engineering
Languages : en
Pages : 302
View: 827

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Advanced Optimization And Decision Making Techniques In Textile Manufacturing Book Description

by Anindya Ghosh, Advanced Optimization And Decision Making Techniques In Textile Manufacturing Books available in PDF, EPUB, Mobi Format. Download Advanced Optimization And Decision Making Techniques In Textile Manufacturing books, Optimization and decision making are integral parts of any manufacturing process and management system. The objective of this book is to demonstrate the confluence of theory and applications of various types of multi-criteria decision making and optimization techniques with reference to textile manufacturing and management. Divided into twelve chapters, it discusses various multi-criteria decision-making methods such as AHP, TOPSIS, ELECTRE, and optimization techniques like linear programming, fuzzy linear programming, quadratic programming, in textile domain. Multi-objective optimization problems have been dealt with two approaches, namely desirability function and evolutionary algorithm. Key Features Exclusive title covering textiles and soft computing fields including optimization and decision making Discusses concepts of traditional and non-traditional optimization methods with textile examples Explores pertinent single-objective and multi-objective optimizations Provides MATLAB coding in the Appendix to solve various types of multi-criteria decision making and optimization problems Includes examples and case studies related to textile engineering and management


Decision Making With Spherical Fuzzy Sets

Decision Making with Spherical Fuzzy Sets PDF
Author: Cengiz Kahraman
Publisher: Springer Nature
Size: 12.50 MB
Format: PDF, ePub, Mobi
Category : Technology & Engineering
Languages : en
Pages : 532
View: 7168

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Decision Making With Spherical Fuzzy Sets Book Description

by Cengiz Kahraman, Decision Making With Spherical Fuzzy Sets Books available in PDF, EPUB, Mobi Format. Download Decision Making With Spherical Fuzzy Sets books, This book introduces readers to the novel concept of spherical fuzzy sets, showing how these sets can be applied in practice to solve various decision-making problems. It also demonstrates that these sets provide a larger preference volume in 3D space for decision-makers. Written by authoritative researchers, the various chapters cover a large amount of theoretical and practical information, allowing readers to gain an extensive understanding of both the fundamentals and applications of spherical fuzzy sets in intelligent decision-making and mathematical programming.


Applied Intelligent Decision Making In Machine Learning

Applied Intelligent Decision Making in Machine Learning PDF
Author: Himansu Das
Publisher: CRC Press
Size: 43.17 MB
Format: PDF, ePub, Docs
Category : Technology & Engineering
Languages : en
Pages : 252
View: 6192

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Applied Intelligent Decision Making In Machine Learning Book Description

by Himansu Das, Applied Intelligent Decision Making In Machine Learning Books available in PDF, EPUB, Mobi Format. Download Applied Intelligent Decision Making In Machine Learning books, The objective of this edited book is to share the outcomes from various research domains to develop efficient, adaptive, and intelligent models to handle the challenges related to decision making. It incorporates the advances in machine intelligent techniques such as data streaming, classification, clustering, pattern matching, feature selection, and deep learning in the decision-making process for several diversified applications such as agriculture, character recognition, landslide susceptibility, recommendation systems, forecasting air quality, healthcare, exchange rate prediction, and image dehazing. It also provides a premier interdisciplinary platform for scientists, researchers, practitioners, and educators to share their thoughts in the context of recent innovations, trends, developments, practical challenges, and advancements in the field of data mining, machine learning, soft computing, and decision science. It also focuses on the usefulness of applied intelligent techniques in the decision-making process in several aspects. To address these objectives, this edited book includes a dozen chapters contributed by authors from around the globe. The authors attempt to solve these complex problems using several intelligent machine-learning techniques. This allows researchers to understand the mechanism needed to harness the decision-making process using machine-learning techniques for their own respective endeavors.