Computational Intelligence And Decision Making

Author : Sergii Babichev,Volodymyr Lytvynenko
Publisher : Springer Nature
Page : 805 pages
File Size : 52,9 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.

Author : Volodymyr Lytvynenko,Sergii Babichev,Waldemar Wójcik,Olena Vynokurova,Svetlana Vyshemyrskaya,Svetlana Radetskaya
Publisher : Springer
Page : 715 pages
File Size : 43,9 Mb
Release : 2019-07-23
Category : Technology & Engineering
ISBN : 9783030264741

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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.

Author : Gloria Phillips-Wren,Nikhil Ichalkaranje
Publisher : Springer Science & Business Media
Page : 414 pages
File Size : 46,6 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.

Author : Michael Doumpos,Constantin Zopounidis,Panos M. Pardalos
Publisher : Springer Science & Business Media
Page : 336 pages
File Size : 52,9 Mb
Release : 2012-07-23
Category : Business & Economics
ISBN : 9781461437734

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Financial Decision Making Using Computational Intelligence by Michael Doumpos,Constantin Zopounidis,Panos M. Pardalos Pdf

The increasing complexity of financial problems and the enormous volume of financial data often make it difficult to apply traditional modeling and algorithmic procedures. In this context, the field of computational intelligence provides an arsenal of particularly useful techniques. These techniques include new modeling tools for decision making under risk and uncertainty, data mining techniques for analyzing complex data bases, and powerful algorithms for complex optimization problems. Computational intelligence has also evolved rapidly over the past few years and it is now one of the most active fields in operations research and computer science. This volume presents the recent advances of the use of computation intelligence in financial decision making. The book covers all the major areas of computational intelligence and a wide range of problems in finance, such as portfolio optimization, credit risk analysis, asset valuation, financial forecasting, and trading.

Author : Sergii Babichev,Volodymyr Lytvynenko,Waldemar Wójcik,Svetlana Vyshemyrskaya
Publisher : Springer Nature
Page : 743 pages
File Size : 46,9 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.

Author : Ruan Da
Publisher : Springer Science & Business Media
Page : 398 pages
File Size : 50,5 Mb
Release : 2010-06-01
Category : Computers
ISBN : 9789491216299

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COMPUTATIONAL INTELLIGENCE IN COMPLEX DECISION MAKING SYSTEMS by Ruan Da Pdf

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.

Author : Zhengxin Chen
Publisher : CRC Press
Page : 408 pages
File Size : 40,7 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.

Author : Ana Madureira,Cecilia Reis,Viriato Marques
Publisher : Springer Science & Business Media
Page : 493 pages
File Size : 41,8 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.

Author : Volodymyr Lytvynenko,Sergii Babichev,Waldemar Wójcik,Olena Vynokurova,Svetlana Vyshemyrskaya,Svetlana Radetskaya
Publisher : Unknown
Page : 715 pages
File Size : 40,7 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.

Author : Sergii Babichev,Volodymyr Lytvynenko
Publisher : Unknown
Page : 0 pages
File Size : 45,8 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.

Author : Witold Pedrycz,Luis Martínez,Rafael Alejandro Espin-Andrade,Gilberto Rivera,Jorge Marx Gómez
Publisher : Springer Nature
Page : 417 pages
File Size : 44,6 Mb
Release : 2021-10-26
Category : Technology & Engineering
ISBN : 9783030738198

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Computational Intelligence for Business Analytics by Witold Pedrycz,Luis Martínez,Rafael Alejandro Espin-Andrade,Gilberto Rivera,Jorge Marx Gómez Pdf

Corporate success has been changed by the importance of new developments in Business Analytics (BA) and furthermore by the support of computational intelligence- based techniques. This book opens a new avenues in these subjects, identifies key developments and opportunities. The book will be of interest for students, researchers and professionals to identify innovative ways delivered by Business Analytics based on computational intelligence solutions. They help elicit information, handle knowledge and support decision-making for more informed and reliable decisions even under high uncertainty environments.Computational Intelligence for Business Analytics has collected the latest technological innovations in the field of BA to improve business models related to Group Decision-Making, Forecasting, Risk Management, Knowledge Discovery, Data Breach Detection, Social Well-Being, among other key topics related to this field.

Author : Himansu Das,Jitendra Kumar Rout,Suresh Chandra Moharana,Nilanjan Dey
Publisher : CRC Press
Page : 263 pages
File Size : 41,5 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.

Author : Anonim
Publisher : Unknown
Page : 743 pages
File Size : 49,6 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.

Author : Nikhil R. Pal
Publisher : Unknown
Page : 109 pages
File Size : 44,5 Mb
Release : 2003
Category : Electronic
ISBN : OCLC:1070635318

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Special Issue on Computational Intelligence for Decision Making Systems by Nikhil R. Pal Pdf

Author : Tshilidzi Marwala
Publisher : Springer
Page : 168 pages
File Size : 55,7 Mb
Release : 2014-10-20
Category : Computers
ISBN : 9783319114248

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Artificial Intelligence Techniques for Rational Decision Making by Tshilidzi Marwala Pdf

Develops insights into solving complex problems in engineering, biomedical sciences, social science and economics based on artificial intelligence. Some of the problems studied are in interstate conflict, credit scoring, breast cancer diagnosis, condition monitoring, wine testing, image processing and optical character recognition. The author discusses and applies the concept of flexibly-bounded rationality which prescribes that the bounds in Nobel Laureate Herbert Simon’s bounded rationality theory are flexible due to advanced signal processing techniques, Moore’s Law and artificial intelligence. Artificial Intelligence Techniques for Rational Decision Making examines and defines the concepts of causal and correlation machines and applies the transmission theory of causality as a defining factor that distinguishes causality from correlation. It develops the theory of rational counterfactuals which are defined as counterfactuals that are intended to maximize the attainment of a particular goal within the context of a bounded rational decision making process. Furthermore, it studies four methods for dealing with irrelevant information in decision making: Theory of the marginalization of irrelevant information Principal component analysis Independent component analysis Automatic relevance determination method In addition it studies the concept of group decision making and various ways of effecting group decision making within the context of artificial intelligence. Rich in methods of artificial intelligence including rough sets, neural networks, support vector machines, genetic algorithms, particle swarm optimization, simulated annealing, incremental learning and fuzzy networks, this book will be welcomed by researchers and students working in these areas.