Special Issue On Computational Intelligence For Decision Making Systems

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Lecture Notes in Computational Intelligence and Decision Making

Author : Sergii Babichev,Volodymyr Lytvynenko
Publisher : Springer Nature
Page : 805 pages
File Size : 53,8 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.

Lecture Notes in Computational Intelligence and Decision Making

Author : Sergii Babichev,Volodymyr Lytvynenko
Publisher : Unknown
Page : 0 pages
File Size : 48,7 Mb
Release : 2022
Category : Electronic
ISBN : 3030820157

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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.

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

Author : Sergii Babichev,Volodymyr Lytvynenko
Publisher : Springer Nature
Page : 735 pages
File Size : 53,9 Mb
Release : 2022-09-13
Category : Technology & Engineering
ISBN : 9783031162039

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

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.

Lecture Notes in Computational Intelligence and Decision Making

Author : Anonim
Publisher : Unknown
Page : 743 pages
File Size : 52,9 Mb
Release : 2021
Category : Computational intelligence
ISBN : 3030542165

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Lecture Notes in Computational Intelligence and Decision Making by Anonim Pdf

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

Author : Gloria Phillips-Wren,Nikhil Ichalkaranje
Publisher : Springer Science & Business Media
Page : 414 pages
File Size : 44,8 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.

Lecture Notes in Computational Intelligence and Decision Making

Author : Sergii Babichev,Volodymyr Lytvynenko,Waldemar Wójcik,Svetlana Vyshemyrskaya
Publisher : Springer Nature
Page : 743 pages
File Size : 51,8 Mb
Release : 2020-07-25
Category : Technology & Engineering
ISBN : 9783030542153

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Lecture Notes in Computational Intelligence and Decision Making by Sergii Babichev,Volodymyr Lytvynenko,Waldemar Wójcik,Svetlana Vyshemyrskaya Pdf

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

Author : Sergii Babichev,Volodymyr Lytvynenko
Publisher : Unknown
Page : 0 pages
File Size : 54,6 Mb
Release : 2023
Category : Electronic
ISBN : 3031162048

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

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.

Lecture Notes in Computational Intelligence and Decision Making

Author : Volodymyr Lytvynenko,Sergii Babichev,Waldemar Wójcik,Olena Vynokurova,Svetlana Vyshemyrskaya,Svetlana Radetskaya
Publisher : Unknown
Page : 715 pages
File Size : 42,9 Mb
Release : 2020
Category : Artificial intelligence
ISBN : 3030264750

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Lecture Notes in Computational Intelligence and Decision Making by Volodymyr Lytvynenko,Sergii Babichev,Waldemar Wójcik,Olena Vynokurova,Svetlana Vyshemyrskaya,Svetlana Radetskaya Pdf

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.

Computational Intelligence for Decision Support

Author : Zhengxin Chen
Publisher : CRC Press
Page : 408 pages
File Size : 53,9 Mb
Release : 1999-11-24
Category : Computers
ISBN : 1420049143

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Computational Intelligence for Decision Support by Zhengxin Chen Pdf

Intelligent decision support relies on techniques from a variety of disciplines, including artificial intelligence and database management systems. Most of the existing literature neglects the relationship between these disciplines. By integrating AI and DBMS, Computational Intelligence for Decision Support produces what other texts don't: an explanation of how to use AI and DBMS together to achieve high-level decision making. Threading relevant disciplines from both science and industry, the author approaches computational intelligence as the science developed for decision support. The use of computational intelligence for reasoning and DBMS for retrieval brings about a more active role for computational intelligence in decision support, and merges computational intelligence and DBMS. The introductory chapter on technical aspects makes the material accessible, with or without a decision support background. The examples illustrate the large number of applications and an annotated bibliography allows you to easily delve into subjects of greater interest. The integrated perspective creates a book that is, all at once, technical, comprehensible, and usable. Now, more than ever, it is important for science and business workers to creatively combine their knowledge to generate effective, fruitful decision support. Computational Intelligence for Decision Support makes this task manageable.

Knowledge Processing and Decision Making in Agent-Based Systems

Author : Lakhmi C Jain,Ngoc Thanh Nguyen
Publisher : Springer Science & Business Media
Page : 325 pages
File Size : 52,8 Mb
Release : 2009-01-17
Category : Mathematics
ISBN : 9783540880486

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Knowledge Processing and Decision Making in Agent-Based Systems by Lakhmi C Jain,Ngoc Thanh Nguyen Pdf

Knowledge processing and decision making in agent-based systems constitute the key components of intelligent machines. The contributions included in the book are: Innovations in Knowledge Processing and Decision Making in Agent-Based Systems Towards Real-World HTN Planning Agents Mobile Agent-Based System for Distributed Software Maintenance Software Agents in New Generation Networks: Towards the Automation of Telecom Processes Multi-agent Systems and Paraconsistent Knowledge An Agent-based Negotiation Platform for Collaborative Decision-Making in Construction Supply Chain An Event-Driven Algorithm for Agents at the Web A Generic Mobile Agent Framework Toward Ambient Intelligence Developing Actionable Trading Strategies Agent Uncertainty Model and Quantum Mechanics Representation Agent Transportation Layer Adaptation System Software Agents to Enable Service Composition through Negotiation Advanced Technology Towards Developing Decentralized Autonomous Flexible Manufacturing Systems

Intelligent Decision Technologies

Author : Junzo Watada,Gloria Phillips-Wren,Lakhmi C. Jain,Robert J. Howlett
Publisher : Springer Science & Business Media
Page : 928 pages
File Size : 47,7 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.

Transactions on Computational Collective Intelligence XXVII

Author : Jacek Mercik
Publisher : Springer
Page : 209 pages
File Size : 40,5 Mb
Release : 2017-11-25
Category : Computers
ISBN : 9783319706474

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Transactions on Computational Collective Intelligence XXVII by Jacek Mercik Pdf

These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This twenty-seventh issue is a special issue with 13 selected papers from the Second Seminar on Quantitative Methods of Group Decision Making.

Computational Intelligence and Decision Making

Author : Ana Madureira,Cecilia Reis,Viriato Marques
Publisher : Springer Science & Business Media
Page : 493 pages
File Size : 40,8 Mb
Release : 2012-11-08
Category : Technology & Engineering
ISBN : 9789400747227

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Computational Intelligence and Decision Making by Ana Madureira,Cecilia Reis,Viriato Marques Pdf

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.

Intelligent Decision-making Support Systems

Author : Jatinder N.D. Gupta,Guisseppi A. Forgionne,Manuel Mora T.
Publisher : Springer Science & Business Media
Page : 503 pages
File Size : 48,8 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.

Multicriteria Decision Aid and Artificial Intelligence

Author : Michael Doumpos,Evangelos Grigoroudis
Publisher : John Wiley & Sons
Page : 328 pages
File Size : 42,6 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.