Multicriteria and Clustering

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Publisher : Springer
ISBN 13 : 3319555650
Total Pages : 80 pages
Book Rating : 4.52/5 ( download)

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Book Synopsis Multicriteria and Clustering by : Zacharoula Andreopoulou

Download or read book Multicriteria and Clustering written by Zacharoula Andreopoulou and published by Springer. This book was released on 2017-04-20 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to operational research methods and their application in the agrifood and environmental sectors. It explains the need for multicriteria decision analysis and teaches users how to use recent advances in multicriteria and clustering classification techniques in practice. Further, it presents some of the most common methodologies for statistical analysis and mathematical modeling, and discusses in detail ten examples that explain and show “hands-on” how operational research can be used in key decision-making processes at enterprises in the agricultural food and environmental industries. As such, the book offers a valuable resource especially well suited as a textbook for postgraduate courses.

Multicriteria and Clustering

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.67/5 ( download)

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Book Synopsis Multicriteria and Clustering by :

Download or read book Multicriteria and Clustering written by and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Operations and Production Systems with Multiple Objectives

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Publisher : John Wiley & Sons
ISBN 13 : 0470037326
Total Pages : 1114 pages
Book Rating : 4.24/5 ( download)

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Book Synopsis Operations and Production Systems with Multiple Objectives by : Behnam Malakooti

Download or read book Operations and Production Systems with Multiple Objectives written by Behnam Malakooti and published by John Wiley & Sons. This book was released on 2014-02-03 with total page 1114 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first comprehensive book to uniquely combine the three fields of systems engineering, operations/production systems, and multiple criteria decision making/optimization Systems engineering is the art and science of designing, engineering, and building complex systems—combining art, science, management, and engineering disciplines. Operations and Production Systems with Multiple Objectives covers all classical topics of operations and production systems as well as new topics not seen in any similiar textbooks before: small-scale design of cellular systems, large-scale design of complex systems, clustering, productivity and efficiency measurements, and energy systems. Filled with completely new perspectives, paradigms, and robust methods of solving classic and modern problems, the book includes numerous examples and sample spreadsheets for solving each problem, a solutions manual, and a book companion site complete with worked examples and supplemental articles. Operations and Production Systems with Multiple Objectives will teach readers: How operations and production systems are designed and planned How operations and production systems are engineered and optimized How to formulate and solve manufacturing systems problems How to model and solve interdisciplinary and systems engineering problems How to solve decision problems with multiple and conflicting objectives This book is ideal for senior undergraduate, MS, and PhD graduate students in all fields of engineering, business, and management as well as practitioners and researchers in systems engineering, operations, production, and manufacturing.

Data Science Concepts and Techniques with Applications

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Publisher : Springer Nature
ISBN 13 : 3031174429
Total Pages : 492 pages
Book Rating : 4.21/5 ( download)

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Book Synopsis Data Science Concepts and Techniques with Applications by : Usman Qamar

Download or read book Data Science Concepts and Techniques with Applications written by Usman Qamar and published by Springer Nature. This book was released on 2023-04-02 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook comprehensively covers both fundamental and advanced topics related to data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. The chapters of this book are organized into three parts: The first part (chapters 1 to 3) is a general introduction to data science. Starting from the basic concepts, the book will highlight the types of data, its use, its importance and issues that are normally faced in data analytics, followed by presentation of a wide range of applications and widely used techniques in data science. The second part, which has been updated and considerably extended compared to the first edition, is devoted to various techniques and tools applied in data science. Its chapters 4 to 10 detail data pre-processing, classification, clustering, text mining, deep learning, frequent pattern mining, and regression analysis. Eventually, the third part (chapters 11 and 12) present a brief introduction to Python and R, the two main data science programming languages, and shows in a completely new chapter practical data science in the WEKA (Waikato Environment for Knowledge Analysis), an open-source tool for performing different machine learning and data mining tasks. An appendix explaining the basic mathematical concepts of data science completes the book. This textbook is suitable for advanced undergraduate and graduate students as well as for industrial practitioners who carry out research in data science. They both will not only benefit from the comprehensive presentation of important topics, but also from the many application examples and the comprehensive list of further readings, which point to additional publications providing more in-depth research results or provide sources for a more detailed description of related topics. "This book delivers a systematic, carefully thoughtful material on Data Science." from the Foreword by Witold Pedrycz, U Alberta, Canada.

Evolutionary Multi-Criterion Optimization

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Publisher : Springer Nature
ISBN 13 : 3030720624
Total Pages : 781 pages
Book Rating : 4.29/5 ( download)

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Book Synopsis Evolutionary Multi-Criterion Optimization by : Hisao Ishibuchi

Download or read book Evolutionary Multi-Criterion Optimization written by Hisao Ishibuchi and published by Springer Nature. This book was released on 2021-03-24 with total page 781 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2021 held in Shenzhen, China, in March 2021. The 47 full papers and 14 short papers were carefully reviewed and selected from 120 submissions. The papers are divided into the following topical sections: theory; algorithms; dynamic multi-objective optimization; constrained multi-objective optimization; multi-modal optimization; many-objective optimization; performance evaluations and empirical studies; EMO and machine learning; surrogate modeling and expensive optimization; MCDM and interactive EMO; and applications.

Evolutionary Multi-Criterion Optimization

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Publisher : Springer Science & Business Media
ISBN 13 : 3642010199
Total Pages : 599 pages
Book Rating : 4.94/5 ( download)

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Book Synopsis Evolutionary Multi-Criterion Optimization by : Matthias Ehrgott

Download or read book Evolutionary Multi-Criterion Optimization written by Matthias Ehrgott and published by Springer Science & Business Media. This book was released on 2009-03-26 with total page 599 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2009, held in Nantes, France in April 2009. The 39 revised full papers presented together with 5 invited talks were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on theoretical analysis, uncertainty and noise, algorithm development, performance analysis and comparison, applications, MCDM Track, Many objectives, alternative methods, as well as EMO and MCDA.

Multiple Criteria Decision Making

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Publisher : Springer
ISBN 13 : 3319392921
Total Pages : 211 pages
Book Rating : 4.29/5 ( download)

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Book Synopsis Multiple Criteria Decision Making by : Constantin Zopounidis

Download or read book Multiple Criteria Decision Making written by Constantin Zopounidis and published by Springer. This book was released on 2016-09-08 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a broad range of innovative applications and case studies in all areas of management and engineering, including public administration, finance, marketing, engineering, transportation, and energy systems. It addresses issues related to problem structuring, preference modeling, and model construction, presenting a framework that provides clear decision-making support in practice. In addition, it includes hybrid and integrated techniques combining multiple criteria decision making (MCDM) with other analytical methods. The book reflects the growing impact of MCDM in the field of management science and operations research. Building on recent and established theoretical advances and presenting their applications in specific domains, it offers a comprehensive resource for researchers, graduate students and professionals alike.

Multi-Objective Optimization

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Publisher : Springer
ISBN 13 : 9811314713
Total Pages : 318 pages
Book Rating : 4.11/5 ( download)

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Book Synopsis Multi-Objective Optimization by : Jyotsna K. Mandal

Download or read book Multi-Objective Optimization written by Jyotsna K. Mandal and published by Springer. This book was released on 2018-08-18 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together the latest findings on efficient solutions of multi/many-objective optimization problems from the leading researchers in the field. The focus is on solving real-world optimization problems using strategies ranging from evolutionary to hybrid frameworks, and involving various computation platforms. The topics covered include solution frameworks using evolutionary to hybrid models in application areas like Analytics, Cancer Research, Traffic Management, Networks and Communications, E-Governance, Quantum Technology, Image Processing, etc. As such, the book offers a valuable resource for all postgraduate students and researchers interested in exploring solution frameworks for multi/many-objective optimization problems.

Fuzzy Logic and its Applications to Engineering, Information Sciences, and Intelligent Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 9400901259
Total Pages : 472 pages
Book Rating : 4.54/5 ( download)

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Book Synopsis Fuzzy Logic and its Applications to Engineering, Information Sciences, and Intelligent Systems by : Zeungnam Bien

Download or read book Fuzzy Logic and its Applications to Engineering, Information Sciences, and Intelligent Systems written by Zeungnam Bien and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy technology has emerged as one of the most exciting new concepts available. Fuzzy Logic and its Applications... covers a wide range of the theory and applications of fuzzy logic and related systems, including industrial applications of fuzzy technology, implementing human intelligence in machines and systems. There are four main themes: intelligent systems, engineering, mathematical foundations, and information sciences. Both academics and the technical community will learn how and why fuzzy logic is appreciated in the conceptual, design and manufacturing stages of intelligent systems, gaining an improved understanding of the basic science and the foundations of human reasoning.

Innovations in Fuzzy Clustering

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Publisher : Springer
ISBN 13 : 3540343571
Total Pages : 162 pages
Book Rating : 4.78/5 ( download)

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Book Synopsis Innovations in Fuzzy Clustering by : Mika Sato-Ilic

Download or read book Innovations in Fuzzy Clustering written by Mika Sato-Ilic and published by Springer. This book was released on 2006-10-31 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the most recent advances in fuzzy clustering techniques and their applications. The contents include Introduction to Fuzzy Clustering; Fuzzy Clustering based Principal Component Analysis; Fuzzy Clustering based Regression Analysis; Kernel based Fuzzy Clustering; Evaluation of Fuzzy Clustering; Self-Organized Fuzzy Clustering. This book is directed to the computer scientists, engineers, scientists, professors and students of engineering, science, computer science, business, management, avionics and related disciplines.