COMPUTATIONAL INTELLIGENCE IN COMPLEX DECISION MAKING SYSTEMS

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Publisher : Springer Science & Business Media
ISBN 13 : 9491216295
Total Pages : 398 pages
Book Rating : 4.4/5 (912 download)

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Book Synopsis COMPUTATIONAL INTELLIGENCE IN COMPLEX DECISION MAKING SYSTEMS by : Ruan Da

Download or read book COMPUTATIONAL INTELLIGENCE IN COMPLEX DECISION MAKING SYSTEMS written by Ruan Da and published by Springer Science & Business Media. This book was released on 2010-06-01 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, there has been a growing interest in the need for designing intelligent systems to address complex decision systems. One of the most challenging issues for the intelligent system is to effectively handle real-world uncertainties that cannot be eliminated. These uncertainties include various types of information that are incomplete, imprecise, fragmentary, not fully reliable, vague, contradictory, deficient, and overloading. The uncertainties result in a lack of the full and precise knowledge of the decision system, including the determining and selection of evaluation criteria, alternatives, weights, assignment scores, and the final integrated decision result. Computational intelligent techniques (including fuzzy logic, neural networks, and genetic algorithms etc.), which are complimentary to the existing traditional techniques, have shown great potential to solve these demanding, real-world decision problems that exist in uncertain and unpredictable environments. These technologies have formed the foundation for intelligent systems.

Computational Intelligence in Complex Decision Systems

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Publisher :
ISBN 13 : 9789078677277
Total Pages : 388 pages
Book Rating : 4.6/5 (772 download)

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Book Synopsis Computational Intelligence in Complex Decision Systems by : Da Ruan

Download or read book Computational Intelligence in Complex Decision Systems written by Da Ruan and published by . This book was released on 2010 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, there has been a growing interest in the need for designing intelligent systems to address complex decision systems. One of the most challenging issues for the intelligent system is to effectively handle real-world uncertainties that cannot be eliminated. These uncertainties include various types of information that are incomplete, imprecise, fragmentary, not fully reliable, vague, contradictory, deficient, and overloading. The uncertainties result in a lack of the full and precise knowledge of the decision system, including the determining and selection of evaluation criteria, alternatives, weights, assignment scores, and the final integrated decision result. Computational intelligent techniques (including fuzzy logic, neural networks, and genetic algorithms etc.), which are complimentary to the existing traditional techniques, have shown great potential to solve these demanding, real-world decision problems that exist in uncertain and unpredictable environments. These technologies have formed the foundation for intelligent systems.

Lecture Notes in Computational Intelligence and Decision Making

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Author :
Publisher : Springer Nature
ISBN 13 : 3030542157
Total Pages : 743 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Lecture Notes in Computational Intelligence and Decision Making by : Sergii Babichev

Download or read book Lecture Notes in Computational Intelligence and Decision Making written by Sergii Babichev and published by Springer Nature. This book was released on 2020-07-25 with total page 743 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes 46 scientific papers presented at the conference and reflecting the latest research in the fields of data mining, machine learning and decision-making. The international scientific conference “Intellectual Systems of Decision-Making and Problems of Computational Intelligence” was held in the Kherson region, Ukraine, from May 25 to 29, 2020. The papers are divided into three sections: “Analysis and Modeling of Complex Systems and Processes,” “Theoretical and Applied Aspects of Decision-Making Systems” and “Computational Intelligence and Inductive Modeling.” The book will be of interest to scientists and developers specialized in the fields of data mining, machine learning and decision-making systems.

Intelligent Decision Making: An AI-Based Approach

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Publisher : Springer Science & Business Media
ISBN 13 : 3540768289
Total Pages : 414 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Intelligent Decision Making: An AI-Based Approach by : Gloria Phillips-Wren

Download or read book Intelligent Decision Making: An AI-Based Approach written by Gloria Phillips-Wren and published by Springer Science & Business Media. This book was released on 2008-03-04 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Lecture Notes in Computational Intelligence and Decision Making

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Author :
Publisher : Springer
ISBN 13 : 3030264742
Total Pages : 715 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Lecture Notes in Computational Intelligence and Decision Making by : Volodymyr Lytvynenko

Download or read book Lecture Notes in Computational Intelligence and Decision Making written by Volodymyr Lytvynenko and published by Springer. This book was released on 2019-07-23 with total page 715 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information and computer technologies for data analysis and processing in various fields of data mining and machine learning generates the conditions for increasing the effectiveness of information processing by making it faster and more accurate. The book includes 49 scientific papers presenting the latest research in the fields of data mining, machine learning and decision-making. Divided into three sections: “Analysis and Modeling of Complex Systems and Processes”; “Theoretical and Applied Aspects of Decision-Making Systems”; and “Computational Intelligence and Inductive Modeling”, the book is of interest to scientists and developers in the field.

Lecture Notes in Computational Intelligence and Decision Making

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Publisher : Springer Nature
ISBN 13 : 3030820149
Total Pages : 805 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Lecture Notes in Computational Intelligence and Decision Making by : Sergii Babichev

Download or read book Lecture Notes in Computational Intelligence and Decision Making written by Sergii Babichev and published by Springer Nature. This book was released on 2021-07-22 with total page 805 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational Intelligence and Decision Making

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 9400747225
Total Pages : 493 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Computational Intelligence and Decision Making by : Ana Madureira

Download or read book Computational Intelligence and Decision Making written by Ana Madureira and published by Springer Science & Business Media. This book was released on 2012-11-08 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a general overview and original analysis of new developments and applications in several areas of Computational Intelligence and Information Systems. Computational Intelligence has become an important tool for engineers to develop and analyze novel techniques to solve problems in basic sciences such as physics, chemistry, biology, engineering, environment and social sciences. The material contained in this book addresses the foundations and applications of Artificial Intelligence and Decision Support Systems, Complex and Biological Inspired Systems, Simulation and Evolution of Real and Artificial Life Forms, Intelligent Models and Control Systems, Knowledge and Learning Technologies, Web Semantics and Ontologies, Intelligent Tutoring Systems, Intelligent Power Systems, Self-Organized and Distributed Systems, Intelligent Manufacturing Systems and Affective Computing. The contributions have all been written by international experts, who provide current views on the topics discussed and present recent, original insights from their own experience in these fields.

Lecture Notes in Computational Intelligence and Decision Making

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Publisher :
ISBN 13 : 9783030264758
Total Pages : 715 pages
Book Rating : 4.2/5 (647 download)

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Book Synopsis Lecture Notes in Computational Intelligence and Decision Making by : Volodymyr Lytvynenko

Download or read book Lecture Notes in Computational Intelligence and Decision Making written by Volodymyr Lytvynenko and published by . This book was released on 2020 with total page 715 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information and computer technologies for data analysis and processing in various fields of data mining and machine learning generates the conditions for increasing the effectiveness of information processing by making it faster and more accurate. The book includes 49 scientific papers presenting the latest research in the fields of data mining, machine learning and decision-making. Divided into three sections: "Analysis and Modeling of Complex Systems and Processes"; "Theoretical and Applied Aspects of Decision-Making Systems"; and "Computational Intelligence and Inductive Modeling", the book is of interest to scientists and developers in the field.

Interactive Collaborative Information Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 3642116876
Total Pages : 598 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Interactive Collaborative Information Systems by : Robert Babuška

Download or read book Interactive Collaborative Information Systems written by Robert Babuška and published by Springer Science & Business Media. This book was released on 2010-04-21 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increasing complexity of our world demands new perspectives on the role of technology in human decision making. We need new technology to cope with the increasingly complex and information-rich nature of our modern society. This is particularly true for critical environments such as crisis management and traffic management, where humans need to engage in close collaborations with artificial systems to observe and understand the situation and respond in a sensible way. The book Interactive Collaborative Information Systems addresses techniques that support humans in situations in which complex information handling is required and that facilitate distributed decision-making. The theme integrates research from information technology, artificial intelligence and human sciences to obtain a multidisciplinary foundation from which innovative actor-agent systems for critical environments can emerge. It emphasizes the importance of building actor-agent communities: close collaborations between human and artificial actors that highlight their complementary capabilities in situations where task distribution is flexible and adaptive. This book focuses on the employment of innovative agent technology, advanced machine learning techniques, and cognition-based interface technology for the use in collaborative decision support systems.

Lecture Notes in Computational Intelligence and Decision Making

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Publisher :
ISBN 13 : 9783030542160
Total Pages : 743 pages
Book Rating : 4.5/5 (421 download)

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Book Synopsis Lecture Notes in Computational Intelligence and Decision Making by :

Download or read book Lecture Notes in Computational Intelligence and Decision Making written by and published by . This book was released on 2021 with total page 743 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes 46 scientific papers presented at the conference and reflecting the latest research in the fields of data mining, machine learning and decision-making. The international scientific conference "Intellectual Systems of Decision-Making and Problems of Computational Intelligence" was held in the Kherson region, Ukraine, from May 25 to 29, 2020. The papers are divided into three sections: "Analysis and Modeling of Complex Systems and Processes," "Theoretical and Applied Aspects of Decision-Making Systems" and "Computational Intelligence and Inductive Modeling." The book will be of interest to scientists and developers specialized in the fields of data mining, machine learning and decision-making systems.

Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making

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Author :
Publisher : Springer Nature
ISBN 13 : 303116203X
Total Pages : 735 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making by : Sergii Babichev

Download or read book Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making written by Sergii Babichev and published by Springer Nature. This book was released on 2022-09-13 with total page 735 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains of 39 scientific papers which include the results of research regarding the current directions in the fields of data mining, machine learning and decision-making. 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 create 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 papers are divided in terms of their topic into three sections. The first section "Analysis and Modeling of Hybrid Systems and Processes" contains of 11 papers, and the second section "Theoretical and Applied Aspects of Decision-Making Systems" contains of 11 ones too. There are 17 papers in the third section "Data Engineering, 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.

Uncertainty in Computational Intelligence-Based Decision Making

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Author :
Publisher : Elsevier
ISBN 13 : 044321476X
Total Pages : 340 pages
Book Rating : 4.4/5 (432 download)

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Book Synopsis Uncertainty in Computational Intelligence-Based Decision Making by : Ali Ahmadian

Download or read book Uncertainty in Computational Intelligence-Based Decision Making written by Ali Ahmadian and published by Elsevier. This book was released on 2024-09-16 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncertainty in Computational Intelligence-Based Decision-Making focuses on techniques for reasoning and decision-making under uncertainty that are used to solve issues in artificial intelligence (AI). It covers a wide range of subjects, including knowledge acquisition and automated model construction, pattern recognition, machine learning, natural language processing, decision analysis, and decision support systems, among others. The first chapter of this book provides a thorough introduction to the topics of causation in Bayesian belief networks, applications of uncertainty, automated model construction and learning, graphic models for inference and decision making, and qualitative reasoning. The following chapters examine the fundamental models of computational techniques, computational modeling of biological and natural intelligent systems, including swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems, and evolutionary computation. They also examine decision making and analysis, expert systems, and robotics in the context of artificial intelligence and computer science. Provides readers a thorough understanding of the uncertainty that arises in artificial intelligence (AI), computational intelligence (CI) paradigms, and algorithms Encourages readers to put concepts into practice and solve complex real-world problems using CI development frameworks like decision support systems and visual decision design Provides a comprehensive overview of the techniques used in computational intelligence, uncertainty, and decision

Lecture Notes in Computational Intelligence and Decision Making

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Publisher :
ISBN 13 : 9783030820152
Total Pages : 0 pages
Book Rating : 4.8/5 (21 download)

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Book Synopsis Lecture Notes in Computational Intelligence and Decision Making by : Sergii Babichev

Download or read book Lecture Notes in Computational Intelligence and Decision Making written by Sergii Babichev and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Intelligent Decision-making Support Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 1846282314
Total Pages : 508 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Intelligent Decision-making Support Systems by : Jatinder N.D. Gupta

Download or read book Intelligent Decision-making Support Systems written by Jatinder N.D. Gupta and published by Springer Science & Business Media. This book was released on 2007-03-30 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Multicriteria Decision Aid and Artificial Intelligence

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Publisher : John Wiley & Sons
ISBN 13 : 1118522494
Total Pages : 328 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis Multicriteria Decision Aid and Artificial Intelligence by : Michael Doumpos

Download or read book Multicriteria Decision Aid and Artificial Intelligence written by Michael Doumpos and published by John Wiley & Sons. This book was released on 2013-02-01 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Handbook On Computational Intelligence (In 2 Volumes)

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Author :
Publisher : World Scientific
ISBN 13 : 9814675024
Total Pages : 964 pages
Book Rating : 4.8/5 (146 download)

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Book Synopsis Handbook On Computational Intelligence (In 2 Volumes) by : Plamen Parvanov Angelov

Download or read book Handbook On Computational Intelligence (In 2 Volumes) written by Plamen Parvanov Angelov and published by World Scientific. This book was released on 2016-03-18 with total page 964 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the Internet, the proliferation of Big Data, and autonomous systems, mankind has entered into an era of 'digital obesity'. In this century, computational intelligence, such as thinking machines, have been brought forth to process complex human problems in a wide scope of areas — from social sciences, economics and biology, medicine and social networks, to cyber security.The Handbook of Computational Intelligence (in two volumes) prompts readers to look at these problems from a non-traditional angle. It takes a step by step approach, supported by case studies, to explore the issues that have arisen in the process. The Handbook covers many classic paradigms, as well as recent achievements and future promising developments to solve some of these very complex problems. Volume one explores the subjects of fuzzy logic and systems, artificial neural networks, and learning systems. Volume two delves into evolutionary computation, hybrid systems, as well as the applications of computational intelligence in decision making, the process industry, robotics, and autonomous systems.This work is a 'one-stop-shop' for beginners, as well as an inspirational source for more advanced researchers. It is a useful resource for lecturers and learners alike.

Recent Advances in Decision Making

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Publisher : Springer
ISBN 13 : 3642021875
Total Pages : 184 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Recent Advances in Decision Making by : Elisabeth Rakus-Andersson

Download or read book Recent Advances in Decision Making written by Elisabeth Rakus-Andersson and published by Springer. This book was released on 2009-08-05 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent paradigms are increasingly finding their ways in the design and development of decision support systems. This book presents a sample of recent research results from key researchers. The contributions include: Introduction to intelligent systems in decision making - A new method of ranking intuitionistic fuzzy alternatives - Fuzzy rule base model identification by bacterial memetic algorithms - Discovering associations with uncertainty from large databases - Dempster-Shafer structures, monotonic set measures and decision making - Interpretable decision-making models - A general methodology for managerial decision making - Supporting decision making via verbalization of data analysis results using linguistic data summaries - Computational intelligence in medical decisions making. This book is directed to the researchers, graduate students, professors, decision makers and to those who are interested to investigate intelligent paradigms in decision making.