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Intelligent Decision Aiding Systems Based on Multiple Criteria for Financial Engineering

Author: Constantin Zopounidis

Publisher: Springer Science & Business Media

Published: 2013-11-27

Total Pages: 230

ISBN-13: 146154663X

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This book provides a new point of view on the field of financial engineering, through the application of multicriteria intelligent decision aiding systems. The aim of the book is to provide a review of the research in the area and to explore the adequacy of the tools and systems developed according to this innovative approach in addressing complex financial decision problems, encountered within the field of financial engineering. Audience: Researchers and professionals such as financial managers, financial engineers, investors, operations research specialists, computer scientists, management scientists and economists.

Book Synopsis Intelligent Decision Aiding Systems Based on Multiple Criteria for Financial Engineering by : Constantin Zopounidis

Download or read book Intelligent Decision Aiding Systems Based on Multiple Criteria for Financial Engineering written by Constantin Zopounidis and published by Springer Science & Business Media. This book was released on 2013-11-27 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a new point of view on the field of financial engineering, through the application of multicriteria intelligent decision aiding systems. The aim of the book is to provide a review of the research in the area and to explore the adequacy of the tools and systems developed according to this innovative approach in addressing complex financial decision problems, encountered within the field of financial engineering. Audience: Researchers and professionals such as financial managers, financial engineers, investors, operations research specialists, computer scientists, management scientists and economists.

Intelligent Decision Aiding Systems Based on Multiple Criteria for Financial Engineering

Author: Constantin Zopounidis

Publisher:

Published: 2014-09-01

Total Pages: 240

ISBN-13: 9781461546641

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Book Synopsis Intelligent Decision Aiding Systems Based on Multiple Criteria for Financial Engineering by : Constantin Zopounidis

Download or read book Intelligent Decision Aiding Systems Based on Multiple Criteria for Financial Engineering written by Constantin Zopounidis and published by . This book was released on 2014-09-01 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Multicriteria Decision Aid Classification Methods

Author: Michael Doumpos

Publisher: Springer Science & Business Media

Published: 2006-04-18

Total Pages: 264

ISBN-13: 0306481057

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The book discusses a new approach to the classification problem following the decision support orientation of multicriteria decision aid. The book reviews the existing research on the development of classification methods, investigating the corresponding model development procedures, and providing a thorough analysis of their performance both in experimental situations and real-world problems from the field of finance. Audience: Researchers and professionals working in management science, decision analysis, operations research, financial/banking analysis, economics, statistics, computer science, as well as graduate students in management science and operations research.

Book Synopsis Multicriteria Decision Aid Classification Methods by : Michael Doumpos

Download or read book Multicriteria Decision Aid Classification Methods written by Michael Doumpos and published by Springer Science & Business Media. This book was released on 2006-04-18 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book discusses a new approach to the classification problem following the decision support orientation of multicriteria decision aid. The book reviews the existing research on the development of classification methods, investigating the corresponding model development procedures, and providing a thorough analysis of their performance both in experimental situations and real-world problems from the field of finance. Audience: Researchers and professionals working in management science, decision analysis, operations research, financial/banking analysis, economics, statistics, computer science, as well as graduate students in management science and operations research.

Financial Engineering, E-commerce and Supply Chain

Author: Panos M. Pardalos

Publisher: Springer Science & Business Media

Published: 2013-06-29

Total Pages: 403

ISBN-13: 1475752261

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One of the fast growing elements of the Internet is electronic commerce, which refers to the use of electronic means to conduct business transactions within or across business entities. Nearly 80 percent of all Fortune 500 companies have been doing their core business through the Internet. Many issues, and societal implications of electronic commerce, are the subjects of recent research. A supply chain consists of all the entities and activities that enable the production, distribution, and delivery of products and services to consumers. Research in designing and managing supply chains has rapidly expanded during the last decade. In addition, increased and accessible computing power and modeling capabilities have spurred this growth, enabling researchers to simultaneously consider the many interrelated variables and decisions of a supply chain in a single tractable model.

Book Synopsis Financial Engineering, E-commerce and Supply Chain by : Panos M. Pardalos

Download or read book Financial Engineering, E-commerce and Supply Chain written by Panos M. Pardalos and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the fast growing elements of the Internet is electronic commerce, which refers to the use of electronic means to conduct business transactions within or across business entities. Nearly 80 percent of all Fortune 500 companies have been doing their core business through the Internet. Many issues, and societal implications of electronic commerce, are the subjects of recent research. A supply chain consists of all the entities and activities that enable the production, distribution, and delivery of products and services to consumers. Research in designing and managing supply chains has rapidly expanded during the last decade. In addition, increased and accessible computing power and modeling capabilities have spurred this growth, enabling researchers to simultaneously consider the many interrelated variables and decisions of a supply chain in a single tractable model.

Handbook of Industrial and Systems Engineering

Author: Adedeji B. Badiru

Publisher: CRC Press

Published: 2005-12-15

Total Pages: 766

ISBN-13: 1420038346

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Responding to the demand by researchers and practitioners for a comprehensive reference, Handbook of Industrial and Systems Engineering offers full and easy access to a wide range of industrial and systems engineering tools and techniques in a concise format. Providing state of the art coverage from more than 40 contributing authors, many of whom a

Book Synopsis Handbook of Industrial and Systems Engineering by : Adedeji B. Badiru

Download or read book Handbook of Industrial and Systems Engineering written by Adedeji B. Badiru and published by CRC Press. This book was released on 2005-12-15 with total page 766 pages. Available in PDF, EPUB and Kindle. Book excerpt: Responding to the demand by researchers and practitioners for a comprehensive reference, Handbook of Industrial and Systems Engineering offers full and easy access to a wide range of industrial and systems engineering tools and techniques in a concise format. Providing state of the art coverage from more than 40 contributing authors, many of whom a

Intelligent Control Systems

Author: Gábor Szederkényi

Publisher: Springer Science & Business Media

Published: 2006-04-18

Total Pages: 312

ISBN-13: 0306480816

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Intelligent control is a rapidly developing, complex and challenging field with great practical importance and potential. Because of the rapidly developing and interdisciplinary nature of the subject, there are only a few edited volumes consisting of research papers on intelligent control systems but little is known and published about the fundamentals and the general know-how in designing, implementing and operating intelligent control systems. Intelligent control system emerged from artificial intelligence and computer controlled systems as an interdisciplinary field. Therefore the book summarizes the fundamentals of knowledge representation, reasoning, expert systems and real-time control systems and then discusses the design, implementation verification and operation of real-time expert systems using G2 as an example. Special tools and techniques applied in intelligent control are also described including qualitative modelling, Petri nets and fuzzy controllers. The material is illlustrated with simple examples taken from the field of intelligent process control.

Book Synopsis Intelligent Control Systems by : Gábor Szederkényi

Download or read book Intelligent Control Systems written by Gábor Szederkényi and published by Springer Science & Business Media. This book was released on 2006-04-18 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent control is a rapidly developing, complex and challenging field with great practical importance and potential. Because of the rapidly developing and interdisciplinary nature of the subject, there are only a few edited volumes consisting of research papers on intelligent control systems but little is known and published about the fundamentals and the general know-how in designing, implementing and operating intelligent control systems. Intelligent control system emerged from artificial intelligence and computer controlled systems as an interdisciplinary field. Therefore the book summarizes the fundamentals of knowledge representation, reasoning, expert systems and real-time control systems and then discusses the design, implementation verification and operation of real-time expert systems using G2 as an example. Special tools and techniques applied in intelligent control are also described including qualitative modelling, Petri nets and fuzzy controllers. The material is illlustrated with simple examples taken from the field of intelligent process control.

Computational Methods in Decision-Making, Economics and Finance

Author: Erricos John Kontoghiorghes

Publisher: Springer Science & Business Media

Published: 2013-11-11

Total Pages: 626

ISBN-13: 1475736134

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Computing has become essential for the modeling, analysis, and optimization of systems. This book is devoted to algorithms, computational analysis, and decision models. The chapters are organized in two parts: optimization models of decisions and models of pricing and equilibria.

Book Synopsis Computational Methods in Decision-Making, Economics and Finance by : Erricos John Kontoghiorghes

Download or read book Computational Methods in Decision-Making, Economics and Finance written by Erricos John Kontoghiorghes and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computing has become essential for the modeling, analysis, and optimization of systems. This book is devoted to algorithms, computational analysis, and decision models. The chapters are organized in two parts: optimization models of decisions and models of pricing and equilibria.

Multicriteria Analysis in Finance

Author: Michael Doumpos

Publisher: Springer Science & Business Media

Published: 2014-04-10

Total Pages: 111

ISBN-13: 3319058649

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This book provides a concise introduction into the fundamentals and applied techniques of multiple criteria decision making in the finance sector. Based on an analysis of the nature of financial decisions and the general methods of financial modelling, risk management and financial engineering, the book introduces into portfolio management, banking management and credit scoring. Finally the book presents an overview of further applications of multi criteria analysis in finance and gives an outlook on future perspectives for the application of MCDA in finance.

Book Synopsis Multicriteria Analysis in Finance by : Michael Doumpos

Download or read book Multicriteria Analysis in Finance written by Michael Doumpos and published by Springer Science & Business Media. This book was released on 2014-04-10 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a concise introduction into the fundamentals and applied techniques of multiple criteria decision making in the finance sector. Based on an analysis of the nature of financial decisions and the general methods of financial modelling, risk management and financial engineering, the book introduces into portfolio management, banking management and credit scoring. Finally the book presents an overview of further applications of multi criteria analysis in finance and gives an outlook on future perspectives for the application of MCDA in finance.

Multicriteria Portfolio Management

Author: Panos Xidonas

Publisher: Springer Science & Business Media

Published: 2012-05-09

Total Pages: 138

ISBN-13: 1461436702

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The primary purpose in this book is to present an integrated and innovative methodological approach for the construction and selection of equity portfolios. The approach takes into account the inherent multidimensional nature of the problem, while allowing the decision makers to incorporate specified preferences in the decision processes. A fundamental principle of modern portfolio theory is that comparisons between portfolios are generally made using two criteria; the expected return and portfolio variance. According to most of the portfolio models derived from the stochastic dominance approach, the group of portfolios open to comparisons is divided into two parts: the efficient portfolios, and the dominated. This work integrates the two approaches providing a unified model for decision making in portfolio management with multiple criteria.

Book Synopsis Multicriteria Portfolio Management by : Panos Xidonas

Download or read book Multicriteria Portfolio Management written by Panos Xidonas and published by Springer Science & Business Media. This book was released on 2012-05-09 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: The primary purpose in this book is to present an integrated and innovative methodological approach for the construction and selection of equity portfolios. The approach takes into account the inherent multidimensional nature of the problem, while allowing the decision makers to incorporate specified preferences in the decision processes. A fundamental principle of modern portfolio theory is that comparisons between portfolios are generally made using two criteria; the expected return and portfolio variance. According to most of the portfolio models derived from the stochastic dominance approach, the group of portfolios open to comparisons is divided into two parts: the efficient portfolios, and the dominated. This work integrates the two approaches providing a unified model for decision making in portfolio management with multiple criteria.

Numerical Data Fitting in Dynamical Systems

Author: Klaus Schittkowski

Publisher: Springer Science & Business Media

Published: 2002-12-31

Total Pages: 416

ISBN-13: 9781402010798

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Real life phenomena in engineering, natural, or medical sciences are often described by a mathematical model with the goal to analyze numerically the behaviour of the system. Advantages of mathematical models are their cheap availability, the possibility of studying extreme situations that cannot be handled by experiments, or of simulating real systems during the design phase before constructing a first prototype. Moreover, they serve to verify decisions, to avoid expensive and time consuming experimental tests, to analyze, understand, and explain the behaviour of systems, or to optimize design and production. As soon as a mathematical model contains differential dependencies from an additional parameter, typically the time, we call it a dynamical model. There are two key questions always arising in a practical environment: 1 Is the mathematical model correct? 2 How can I quantify model parameters that cannot be measured directly? In principle, both questions are easily answered as soon as some experimental data are available. The idea is to compare measured data with predicted model function values and to minimize the differences over the whole parameter space. We have to reject a model if we are unable to find a reasonably accurate fit. To summarize, parameter estimation or data fitting, respectively, is extremely important in all practical situations, where a mathematical model and corresponding experimental data are available to describe the behaviour of a dynamical system.

Book Synopsis Numerical Data Fitting in Dynamical Systems by : Klaus Schittkowski

Download or read book Numerical Data Fitting in Dynamical Systems written by Klaus Schittkowski and published by Springer Science & Business Media. This book was released on 2002-12-31 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real life phenomena in engineering, natural, or medical sciences are often described by a mathematical model with the goal to analyze numerically the behaviour of the system. Advantages of mathematical models are their cheap availability, the possibility of studying extreme situations that cannot be handled by experiments, or of simulating real systems during the design phase before constructing a first prototype. Moreover, they serve to verify decisions, to avoid expensive and time consuming experimental tests, to analyze, understand, and explain the behaviour of systems, or to optimize design and production. As soon as a mathematical model contains differential dependencies from an additional parameter, typically the time, we call it a dynamical model. There are two key questions always arising in a practical environment: 1 Is the mathematical model correct? 2 How can I quantify model parameters that cannot be measured directly? In principle, both questions are easily answered as soon as some experimental data are available. The idea is to compare measured data with predicted model function values and to minimize the differences over the whole parameter space. We have to reject a model if we are unable to find a reasonably accurate fit. To summarize, parameter estimation or data fitting, respectively, is extremely important in all practical situations, where a mathematical model and corresponding experimental data are available to describe the behaviour of a dynamical system.