Applied Intelligent Decision Making In Machine Learning

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Applied Intelligent Decision Making in Machine Learning

Himansu Das,Jitendra Kumar Rout,Suresh Chandra Moharana,Nilanjan Dey
Applied Intelligent Decision Making in Machine Learning Book PDF

Author : Himansu Das,Jitendra Kumar Rout,Suresh Chandra Moharana,Nilanjan Dey
Publisher : CRC Press
Page : 263 pages
File Size : 48,9 Mb
Release : 2020-11-18
Category : Computers
ISBN : 9781000208542

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Applied Intelligent Decision Making in Machine Learning by Himansu Das,Jitendra Kumar Rout,Suresh Chandra Moharana,Nilanjan Dey Pdf

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.

Machine Learning for Intelligent Decision Science

Jitendra Kumar Rout,Minakhi Rout,Himansu Das
Machine Learning for Intelligent Decision Science Book PDF

Author : Jitendra Kumar Rout,Minakhi Rout,Himansu Das
Publisher : Springer Nature
Page : 219 pages
File Size : 41,9 Mb
Release : 2020-04-02
Category : Technology & Engineering
ISBN : 9789811536892

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Machine Learning for Intelligent Decision Science by Jitendra Kumar Rout,Minakhi Rout,Himansu Das Pdf

The book discusses machine learning-based decision-making models, and presents intelligent, hybrid and adaptive methods and tools for solving complex learning and decision-making problems under conditions of uncertainty. Featuring contributions from data scientists, practitioners and educators, the book covers a range of topics relating to intelligent systems for decision science, and examines recent innovations, trends, and practical challenges in the field. The book is a valuable resource for academics, students, researchers and professionals wanting to gain insights into decision-making.

Multicriteria Decision Aid and Artificial Intelligence

Michael Doumpos,Evangelos Grigoroudis
Multicriteria Decision Aid and Artificial Intelligence Book PDF

Author : Michael Doumpos,Evangelos Grigoroudis
Publisher : John Wiley & Sons
Page : 328 pages
File Size : 52,8 Mb
Release : 2013-02-01
Category : Business & Economics
ISBN : 9781118522493

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Multicriteria Decision Aid and Artificial Intelligence by Michael Doumpos,Evangelos Grigoroudis Pdf

Presents recent advances in both models and systems for intelligent decision making. Organisations often face complex decisions requiring the assessment of large amounts of data. In recent years Multicriteria Decision Aid (MCDA) and Artificial Intelligence (AI) techniques have been applied with considerable success to support decision making in a wide range of complex real-world problems. The integration of MCDA and AI provides new capabilities relating to the structuring of complex decision problems in static and distributed environments. These include the handling of massive data sets, the modelling of ill-structured information, the construction of advanced decision models, and the development of efficient computational optimization algorithms for problem solving. This book covers a rich set of topics, including intelligent decision support technologies, data mining models for decision making, evidential reasoning, evolutionary multiobjective optimization, fuzzy modelling, as well as applications in management and engineering. Multicriteria Decision Aid and Artificial Intelligence: Covers all of the recent advances in intelligent decision making. Includes a presentation of hybrid models and algorithms for preference modelling and optimisation problems. Provides illustrations of new intelligent technologies and architectures for decision making in static and distributed environments. Explores the general topics on preference modelling and learning, along with the coverage of the main techniques and methodologies and applications. Is written by experts in the field. This book provides an excellent reference tool for the increasing number of researchers and practitioners interested in the integration of MCDA and AI for the development of effective hybrid decision support methodologies and systems. Academics and post-graduate students in the fields of operational research, artificial intelligence and management science or decision analysis will also find this book beneficial.

Intelligent Decision Making: An AI-Based Approach

Gloria Phillips-Wren,Nikhil Ichalkaranje
Intelligent Decision Making An AI Based Approach Book PDF

Author : Gloria Phillips-Wren,Nikhil Ichalkaranje
Publisher : Springer Science & Business Media
Page : 414 pages
File Size : 43,9 Mb
Release : 2008-03-04
Category : Mathematics
ISBN : 9783540768289

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Intelligent Decision Making: An AI-Based Approach by Gloria Phillips-Wren,Nikhil Ichalkaranje Pdf

Intelligent Decision Support Systems have the potential to transform human decision making by combining research in artificial intelligence, information technology, and systems engineering. The field of intelligent decision making is expanding rapidly due, in part, to advances in artificial intelligence and network-centric environments that can deliver the technology. Communication and coordination between dispersed systems can deliver just-in-time information, real-time processing, collaborative environments, and globally up-to-date information to a human decision maker. At the same time, artificial intelligence techniques have demonstrated that they have matured sufficiently to provide computational assistance to humans in practical applications. This book includes contributions from leading researchers in the field beginning with the foundations of human decision making and the complexity of the human cognitive system. Researchers contrast human and artificial intelligence, survey computational intelligence, present pragmatic systems, and discuss future trends. This book will be an invaluable resource to anyone interested in the current state of knowledge and key research gaps in the rapidly developing field of intelligent decision support.

Handbook on Decision Making

Julian Andres Zapata-Cortes,Cuauhtémoc Sánchez-Ramírez,Giner Alor-Hernández,Jorge Luis García-Alcaraz
Handbook on Decision Making Book PDF

Author : Julian Andres Zapata-Cortes,Cuauhtémoc Sánchez-Ramírez,Giner Alor-Hernández,Jorge Luis García-Alcaraz
Publisher : Springer Nature
Page : 466 pages
File Size : 40,8 Mb
Release : 2022-09-26
Category : Technology & Engineering
ISBN : 9783031082467

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Handbook on Decision Making by Julian Andres Zapata-Cortes,Cuauhtémoc Sánchez-Ramírez,Giner Alor-Hernández,Jorge Luis García-Alcaraz Pdf

This book presents different techniques and methodologies used to improve the intelligent decision-making process and increase the likelihood of success in companies of different sectors such as Financial Services, Education, Supply Chain, Energy Systems, Health Services, and others. The book contains and consolidates innovative and high-quality research contributions regarding the implementation of techniques and methodologies applied in different sectors. The scope is to disseminate current trends knowledge in the implementation of artificial intelligence techniques and methodologies in different fields such as: Logistics, Software Development, Big Data, Internet of Things, Simulation, among others. The book contents are useful for Ph.D. researchers, Ph.D. students, master and undergraduate students of different areas such as Industrial Engineering, Computer Science, Information Systems, Data Analytics, and others.

Deep Learning Applications and Intelligent Decision Making in Engineering

Senthilnathan, Karthikrajan,Shanmugam, Balamurugan,Goyal, Dinesh,Annapoorani, Iyswarya,Samikannu, Ravi
Deep Learning Applications and Intelligent Decision Making in Engineering Book PDF

Author : Senthilnathan, Karthikrajan,Shanmugam, Balamurugan,Goyal, Dinesh,Annapoorani, Iyswarya,Samikannu, Ravi
Publisher : IGI Global
Page : 332 pages
File Size : 52,7 Mb
Release : 2020-10-23
Category : Technology & Engineering
ISBN : 9781799821106

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Deep Learning Applications and Intelligent Decision Making in Engineering by Senthilnathan, Karthikrajan,Shanmugam, Balamurugan,Goyal, Dinesh,Annapoorani, Iyswarya,Samikannu, Ravi Pdf

Deep learning includes a subset of machine learning for processing the unsupervised data with artificial neural network functions. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. When applied to engineering, deep learning can have a great impact on the decision-making process. Deep Learning Applications and Intelligent Decision Making in Engineering is a pivotal reference source that provides practical applications of deep learning to improve decision-making methods and construct smart environments. Highlighting topics such as smart transportation, e-commerce, and cyber physical systems, this book is ideally designed for engineers, computer scientists, programmers, software engineers, research scholars, IT professionals, academicians, and postgraduate students seeking current research on the implementation of automation and deep learning in various engineering disciplines.

Progress in Intelligent Decision Science

Tofigh Allahviranloo,Soheil Salahshour,Nafiz Arica
Progress in Intelligent Decision Science Book PDF

Author : Tofigh Allahviranloo,Soheil Salahshour,Nafiz Arica
Publisher : Springer Nature
Page : 992 pages
File Size : 47,6 Mb
Release : 2021-01-29
Category : Technology & Engineering
ISBN : 9783030665012

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Progress in Intelligent Decision Science by Tofigh Allahviranloo,Soheil Salahshour,Nafiz Arica Pdf

This book contains the topics of artificial intelligence and deep learning that do have much application in real-life problems. The concept of uncertainty has long been used in applied science, especially decision making and a logical decision must be made in the field of uncertainty or in the real-life environment that is formed and combined with vague concepts and data. The chapters of this book are connected to the new concepts and aspects of decision making with uncertainty. Besides, other chapters are involved with the concept of data mining and decision making under uncertain computations.

Intelligent Decision-making Support Systems

Jatinder N.D. Gupta,Guisseppi A. Forgionne,Manuel Mora T.
Intelligent Decision making Support Systems Book PDF

Author : Jatinder N.D. Gupta,Guisseppi A. Forgionne,Manuel Mora T.
Publisher : Springer Science & Business Media
Page : 508 pages
File Size : 52,8 Mb
Release : 2007-03-30
Category : Technology & Engineering
ISBN : 9781846282317

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Intelligent Decision-making Support Systems by Jatinder N.D. Gupta,Guisseppi A. Forgionne,Manuel Mora T. Pdf

This book will be bought by researchers and graduates students in Artificial Intelligence and management as well as practising managers and consultants interested in the application of IT and information systems in real business environment.

Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare

Ilker Ozsahin
Applied Machine Learning and Multi Criteria Decision Making in Healthcare Book PDF

Author : Ilker Ozsahin
Publisher : Bentham Science Publishers
Page : 316 pages
File Size : 47,8 Mb
Release : 2021-11-18
Category : Computers
ISBN : 9781681088723

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Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare by Ilker Ozsahin Pdf

This book provides an ideal foundation for readers to understand the application of artificial intelligence (AI) and machine learning (ML) techniques to expert systems in the healthcare sector. It starts with an introduction to the topic and presents chapters which progressively explain decision-making theory that helps solve problems which have multiple criteria that can affect the outcome of a decision. Key aspects of the subject such as machine learning in healthcare, prediction techniques, mathematical models and classification of healthcare problems are included along with chapters which delve in to advanced topics on data science (deep-learning, artificial neural networks, etc.) and practical examples (influenza epidemiology and retinoblastoma treatment analysis). Key Features: - Introduces readers to the basics of AI and ML in expert systems for healthcare - Focuses on a problem solving approach to the topic - Provides information on relevant decision-making theory and data science used in the healthcare industry - Includes practical applications of AI and ML for advanced readers - Includes bibliographic references for further reading The reference is an accessible source of knowledge on multi-criteria decision-support systems in healthcare for medical consultants, healthcare policy makers, researchers in the field of medical biotechnology, oncology and pharmaceutical research and development.

Intelligent Decision Support Systems

Miquel Sànchez-Marrè
Intelligent Decision Support Systems Book PDF

Author : Miquel Sànchez-Marrè
Publisher : Springer Nature
Page : 826 pages
File Size : 53,5 Mb
Release : 2022-03-28
Category : Computers
ISBN : 9783030877903

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Intelligent Decision Support Systems by Miquel Sànchez-Marrè Pdf

This book, with invaluable contributions of Professor Franz Wotawa in chapters 5 and 7, presents the potential use and implementation of intelligent techniques in decision making processes involved in organizations and companies. It provides a thorough analysis of decisions, reviewing the classical decision theory, and describing usual methods for modeling the decision process. It describes the chronological evolution of Decision Support Systems (DSS) from early Management Information Systems until the appearance of Intelligent Decision Support Systems (IDSS). It explains the most commonly used intelligent techniques, both data-driven and model-driven, and illustrates the use of knowledge models in Decision Support through case studies. The author pays special attention to the whole Data Science process, which provides intelligent data-driven models in IDSS. The book describes main uncertainty models used in Artificial Intelligence to model inexactness; covers recommender systems; and reviews available development tools for inducing data-driven models, for using model-driven methods and for aiding the development of Intelligent Decision Support Systems.

Intelligent Decision Technologies

Junzo Watada,Gloria Phillips-Wren,Lakhmi C. Jain,Robert J. Howlett
Intelligent Decision Technologies Book PDF

Author : Junzo Watada,Gloria Phillips-Wren,Lakhmi C. Jain,Robert J. Howlett
Publisher : Springer Science & Business Media
Page : 903 pages
File Size : 55,7 Mb
Release : 2011-11-19
Category : Technology & Engineering
ISBN : 9783642221941

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Intelligent Decision Technologies by Junzo Watada,Gloria Phillips-Wren,Lakhmi C. Jain,Robert J. Howlett Pdf

Intelligent Decision Technologies (IDT) seeks an interchange of research on intelligent systems and intelligent technologies which enhance or improve decision making in industry, government and academia. The focus is interdisciplinary in nature, and includes research on all aspects of intelligent decision technologies, from fundamental development to the applied system. This volume represents leading research from the Third KES International Symposium on Intelligent Decision Technologies (KES IDT’11), hosted and organized by the University of Piraeus, Greece, in conjunction with KES International. The symposium was concerned with theory, design, development, implementation, testing and evaluation of intelligent decision systems. Topics include decision making theory, intelligent agents, fuzzy logic, multi-agent systems, Bayesian networks, optimization, artificial neural networks, genetic algorithms, expert systems, decision support systems, geographic information systems, case-based reasoning, time series, knowledge management systems, rough sets, spatial decision analysis, and multi-criteria decision analysis. These technologies have the potential to revolutionize decision making in many areas of management, healthcare, international business, finance, accounting, marketing, military applications, ecommerce, network management, crisis response, building design, information retrieval, and disaster recovery for a better future. The symposium was concerned with theory, design, development, implementation, testing and evaluation of intelligent decision systems. Topics include decision making theory, intelligent agents, fuzzy logic, multi-agent systems, Bayesian networks, optimization, artificial neural networks, genetic algorithms, expert systems, decision support systems, geographic information systems, case-based reasoning, time series, knowledge management systems, rough sets, spatial decision analysis, and multi-criteria decision analysis. These technologies have the potential to revolutionize decision making in many areas of management, healthcare, international business, finance, accounting, marketing, military applications, ecommerce, network management, crisis response, building design, information retrieval, and disaster recovery for a better future.

Intelligent Decision Support

Shi-Yu Huang
Intelligent Decision Support Book PDF

Author : Shi-Yu Huang
Publisher : Springer Science & Business Media
Page : 472 pages
File Size : 50,8 Mb
Release : 2013-03-09
Category : Computers
ISBN : 9789401579759

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Intelligent Decision Support by Shi-Yu Huang Pdf

Intelligent decision support is based on human knowledge related to a specific part of a real or abstract world. When the knowledge is gained by experience, it is induced from empirical data. The data structure, called an information system, is a record of objects described by a set of attributes. Knowledge is understood here as an ability to classify objects. Objects being in the same class are indiscernible by means of attributes and form elementary building blocks (granules, atoms). In particular, the granularity of knowledge causes that some notions cannot be expressed precisely within available knowledge and can be defined only vaguely. In the rough sets theory created by Z. Pawlak each imprecise concept is replaced by a pair of precise concepts called its lower and upper approximation. These approximations are fundamental tools and reasoning about knowledge. The rough sets philosophy turned out to be a very effective, new tool with many successful real-life applications to its credit. It is worthwhile stressing that no auxiliary assumptions are needed about data, like probability or membership function values, which is its great advantage. The present book reveals a wide spectrum of applications of the rough set concept, giving the reader the flavor of, and insight into, the methodology of the newly developed disciplines. Although the book emphasizes applications, comparison with other related methods and further developments receive due attention.

Advanced Research in Applied Artificial Intelligence

He Jiang,Wei Ding,Moonis Ali,Xindong Wu
Advanced Research in Applied Artificial Intelligence Book PDF

Author : He Jiang,Wei Ding,Moonis Ali,Xindong Wu
Publisher : Springer
Page : 846 pages
File Size : 42,8 Mb
Release : 2012-06-30
Category : Computers
ISBN : 9783642310874

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Advanced Research in Applied Artificial Intelligence by He Jiang,Wei Ding,Moonis Ali,Xindong Wu Pdf

This volume constitutes the thoroughly refereed conference proceedings of the 25th International Conference on Industrial Engineering and Other Applications of Applied Intelligend Systems, IEA/AIE 2012, held in Dalian, China, in June 2012. The total of 82 papers selected for the proceedings were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on machine learning methods; cyber-physical system for intelligent transportation applications; AI applications; evolutionary algorithms, combinatorial optimization; modeling and support of cognitive and affective human processes; natural language processing and its applications; social network and its applications; mission-critical applications and case studies of intelligent systems; AI methods; sentiment analysis for asian languages; aspects on cognitive computing and intelligent interaction; spatio-temporal datamining, structured learning and their applications; decision making and knowledge based systems; pattern recognition; agent based systems; decision making techniques and innovative knowledge management; machine learning applications.

Handbook Of Machine Learning - Volume 2: Optimization And Decision Making

Tshilidzi Marwala,Collins Achepsah Leke
Handbook Of Machine Learning Volume 2 Optimization And Decision Making Book PDF

Author : Tshilidzi Marwala,Collins Achepsah Leke
Publisher : World Scientific
Page : 321 pages
File Size : 45,9 Mb
Release : 2019-11-21
Category : Computers
ISBN : 9789811205682

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Handbook Of Machine Learning - Volume 2: Optimization And Decision Making by Tshilidzi Marwala,Collins Achepsah Leke Pdf

Building on , this volume on Optimization and Decision Making covers a range of algorithms and their applications. Like the first volume, it provides a starting point for machine learning enthusiasts as a comprehensive guide on classical optimization methods. It also provides an in-depth overview on how artificial intelligence can be used to define, disprove or validate economic modeling and decision making concepts.

Lecture Notes in Computational Intelligence and Decision Making

Sergii Babichev,Volodymyr Lytvynenko
Lecture Notes in Computational Intelligence and Decision Making Book PDF

Author : Sergii Babichev,Volodymyr Lytvynenko
Publisher : Springer Nature
Page : 805 pages
File Size : 42,7 Mb
Release : 2021-07-22
Category : Technology & Engineering
ISBN : 9783030820145

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Lecture Notes in Computational Intelligence and Decision Making by Sergii Babichev,Volodymyr Lytvynenko Pdf

This book is devoted to current problems of artificial and computational intelligence including decision-making systems. Collecting, analysis, and processing information are the current directions of modern computer science. Development of new modern information and computer technologies for data analysis and processing in various fields of data mining and machine learning creates the conditions for increasing effectiveness of the information processing by both the decrease of time and the increase of accuracy of the data processing. The book contains of 54 science papers which include the results of research concerning the current directions in the fields of data mining, machine learning, and decision making. The papers are divided in terms of their topic into three sections. The first section "Analysis and Modeling of Complex Systems and Processes" contains of 26 papers, and the second section "Theoretical and Applied Aspects of Decision-Making Systems" contains of 13 papers. There are 15 papers in the third section "Computational Intelligence and Inductive Modeling". The book is focused to scientists and developers in the fields of data mining, machine learning and decision-making systems.