Multicriteria Decision Aid Methods for the Prediction of Business Failure

Multicriteria Decision Aid Methods for the Prediction of Business Failure PDF Author: Constantin Zopounidis
Publisher: Springer Science & Business Media
ISBN: 1475728859
Category : Business & Economics
Languages : en
Pages : 191

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Book Description
This book provides a new point of view on the subject of business failure prediction, through the application of multicriteria analysis methods. The aim of the book is to provide a review of the research in the area and to explore the adequacy of these methods to one of the most complex problems in the area of financial management. In addition, the book explores the applications of the methods so that it can become a very useful tool for researchers and practitioners. The analysis of the modeling and the results in these applications provides the background for further employment of the methods.

Multicriteria Decision Aid Methods for the Prediction of Business Failure

Multicriteria Decision Aid Methods for the Prediction of Business Failure PDF Author: Constantin Zopounidis
Publisher: Springer Science & Business Media
ISBN: 1475728859
Category : Business & Economics
Languages : en
Pages : 191

Get Book

Book Description
This book provides a new point of view on the subject of business failure prediction, through the application of multicriteria analysis methods. The aim of the book is to provide a review of the research in the area and to explore the adequacy of these methods to one of the most complex problems in the area of financial management. In addition, the book explores the applications of the methods so that it can become a very useful tool for researchers and practitioners. The analysis of the modeling and the results in these applications provides the background for further employment of the methods.

Multicriteria Decision Aid Methods for the Prediction of Business Failure

Multicriteria Decision Aid Methods for the Prediction of Business Failure PDF Author: Constantin Zopounidis
Publisher: Springer
ISBN: 9781475728866
Category : Business & Economics
Languages : en
Pages : 174

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Book Description
This book provides a new point of view on the subject of business failure prediction, through the application of multicriteria analysis methods. The aim of the book is to provide a review of the research in the area and to explore the adequacy of these methods to one of the most complex problems in the area of financial management. In addition, the book explores the applications of the methods so that it can become a very useful tool for researchers and practitioners. The analysis of the modeling and the results in these applications provides the background for further employment of the methods.

Operational Tools in the Management of Financial Risks

Operational Tools in the Management of Financial Risks PDF Author: Constantin Zopounidis
Publisher: Springer Science & Business Media
ISBN: 1461554950
Category : Business & Economics
Languages : en
Pages : 328

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Book Description
This book presents a set of new, innovative mathematical modeling tools for analyzing financial risk. Operational Tools in the Management of Financial Risks presents an array of new tools drawn from a variety of research areas, including chaos theory, expert systems, fuzzy sets, neural nets, risk analysis, stochastic programming, and multicriteria decision making. Applications cover, but are not limited to, bankruptcy, credit granting, capital budgeting, corporate performance and viability, portfolio selection/management, and country risk. The book is organized into five sections. The first section applies multivariate data and multicriteria analyses to the problem of portfolio selection. Articles in this section combine classical approaches with newer methods. The second section expands the analysis in the first section to a variety of financial problems: business failure, corporate performance and viability, bankruptcy, etc. The third section examines the mathematical programming techniques including linear, dynamic, and stochastic programming to portfolio managements. The fourth section introduces fuzzy set and artificial intelligence techniques to selected types of financial decisions. The final section explores the contribution of several multicriteria methodologies in the assessment of country financial risk. In total, this book is a systematic examination of an emerging methodology for managing financial risk in business.

Multicriteria Decision Aid Classification Methods

Multicriteria Decision Aid Classification Methods PDF Author: Michael Doumpos
Publisher: Springer Science & Business Media
ISBN: 0306481057
Category : Business & Economics
Languages : en
Pages : 256

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Book Description
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.

Multiple Criteria Decision Analysis: State of the Art Surveys

Multiple Criteria Decision Analysis: State of the Art Surveys PDF Author: Salvatore Greco
Publisher: Springer Science & Business Media
ISBN: 0387230815
Category : Business & Economics
Languages : en
Pages : 1063

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Book Description
Multiple Criteria Decision Analysis: State of the Art Surveys provides survey articles and references of the seminal or state-of-the-art research on MCDA. The material covered ranges from the foundations of MCDA, over various MCDA methodologies (outranking methods, multiattribute utility and value theories, non-classical approaches) to multiobjective mathematical programming, MCDA applications, and software. This vast amount of material is organized in 8 parts, with a total of 25 chapters. More than 2000 references are listed.

Multiple Criteria Decision Analysis

Multiple Criteria Decision Analysis PDF Author: Salvatore Greco
Publisher: Springer
ISBN: 149393094X
Category : Business & Economics
Languages : en
Pages : 1347

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Book Description
In two volumes, this new edition presents the state of the art in Multiple Criteria Decision Analysis (MCDA). Reflecting the explosive growth in the field seen during the last several years, the editors not only present surveys of the foundations of MCDA, but look as well at many new areas and new applications. Individual chapter authors are among the most prestigious names in MCDA research, and combined their chapters bring the field completely up to date. Part I of the book considers the history and current state of MCDA, with surveys that cover the early history of MCDA and an overview that discusses the “pre-theoretical” assumptions of MCDA. Part II then presents the foundations of MCDA, with individual chapters that provide a very exhaustive review of preference modeling, along with a chapter devoted to the axiomatic basis of the different models that multiple criteria preferences. Part III looks at outranking methods, with three chapters that consider the ELECTRE methods, PROMETHEE methods, and a look at the rich literature of other outranking methods. Part IV, on Multiattribute Utility and Value Theories (MAUT), presents chapters on the fundamentals of this approach, the very well known UTA methods, the Analytic Hierarchy Process (AHP) and its more recent extension, the Analytic Network Process (ANP), as well as a chapter on MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique). Part V looks at Non-Classical MCDA Approaches, with chapters on risk and uncertainty in MCDA, the decision rule approach to MCDA, the fuzzy integral approach, the verbal decision methods, and a tentative assessment of the role of fuzzy sets in decision analysis. Part VI, on Multiobjective Optimization, contains chapters on recent developments of vector and set optimization, the state of the art in continuous multiobjective programming, multiobjective combinatorial optimization, fuzzy multicriteria optimization, a review of the field of goal programming, interactive methods for solving multiobjective optimization problems, and relationships between MCDA and evolutionary multiobjective optimization (EMO). Part VII, on Applications, selects some of the most significant areas, including contributions of MCDA in finance, energy planning problems, telecommunication network planning and design, sustainable development, and portfolio analysis. Finally, Part VIII, on MCDM software, presents well known MCDA software packages.

Intelligent Information Systems and Knowledge Management for Energy: Applications for Decision Support, Usage, and Environmental Protection

Intelligent Information Systems and Knowledge Management for Energy: Applications for Decision Support, Usage, and Environmental Protection PDF Author: Metaxiotis, Kostas
Publisher: IGI Global
ISBN: 1605667382
Category : Technology & Engineering
Languages : en
Pages : 524

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Book Description
"This book analyzes the need for a holistic approach for the construction and engineering of cities and societies"--Provided by publisher.

Computational Science and Its Applications - ICCSA 2005

Computational Science and Its Applications - ICCSA 2005 PDF Author: Osvaldo Gervasi
Publisher: Springer
ISBN: 3540323090
Category : Computers
Languages : en
Pages : 1353

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Book Description
The four volume set assembled following The 2005 International Conference on Computational Science and its Applications, ICCSA 2005, held in Suntec International Convention and Exhibition Centre, Singapore, from 9 May 2005 till 12 May 2005, represents the ?ne collection of 540 refereed papers selected from nearly 2,700 submissions. Computational Science has ?rmly established itself as a vital part of many scienti?c investigations, a?ecting researchers and practitioners in areas ranging from applications such as aerospace and automotive, to emerging technologies such as bioinformatics and nanotechnologies, to core disciplines such as ma- ematics, physics, and chemistry. Due to the shear size of many challenges in computational science, the use of supercomputing, parallel processing, and - phisticated algorithms is inevitable and becomes a part of fundamental t- oretical research as well as endeavors in emerging ?elds. Together, these far reaching scienti?c areas contribute to shape this Conference in the realms of state-of-the-art computational science research and applications, encompassing the facilitating theoretical foundations and the innovative applications of such results in other areas.

Computational Methods in Decision-Making, Economics and Finance

Computational Methods in Decision-Making, Economics and Finance PDF Author: Erricos John Kontoghiorghes
Publisher: Springer Science & Business Media
ISBN: 1475736134
Category : Business & Economics
Languages : en
Pages : 626

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Book Description
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.

Current Approaches in Applied Artificial Intelligence

Current Approaches in Applied Artificial Intelligence PDF Author: Moonis Ali
Publisher: Springer
ISBN: 3319190660
Category : Computers
Languages : en
Pages : 755

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Book Description
This book constitutes the refereed conference proceedings of the 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015, held in Seoul, South Korea, in June 2015. The 73 revised full papers presented were carefully reviewed and selected from 105 submissions. The papers cover a wide range of topics in applied artificial intelligence including reasoning, robotics, cognitive modeling, machine learning, pattern recognition, optimization, text mining, social network analysis, and evolutionary algorithms. They are organized in the following topical sections: theoretical AI, knowledge-based systems, optimization, Web and social networks, machine learning, classification, unsupervised learning, vision, image and text processing, and intelligent systems applications.