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Bio-Inspired Credit Risk Analysis

2008-04-24 Business & Economics
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Release : 2008-04-24
Genre : Business & Economics
Kind : eBook
Book Rating : 039/5 ( reviews)

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Book Synopsis Bio-Inspired Credit Risk Analysis by : Lean Yu

Download or read book Bio-Inspired Credit Risk Analysis written by Lean Yu. This book was released on 2008-04-24. Available in PDF, EPUB and Kindle. Book excerpt: Credit risk analysis is one of the most important topics in the field of financial risk management. Due to recent financial crises and regulatory concern of Basel II, credit risk analysis has been the major focus of financial and banking industry. Especially for some credit-granting institutions such as commercial banks and credit companies, the ability to discriminate good customers from bad ones is crucial. The need for reliable quantitative models that predict defaults accurately is imperative so that the interested parties can take either preventive or corrective action. Hence credit risk analysis becomes very important for sustainability and profit of enterprises. In such backgrounds, this book tries to integrate recent emerging support vector machines and other computational intelligence techniques that replicate the principles of bio-inspired information processing to create some innovative methodologies for credit risk analysis and to provide decision support information for interested parties.

Biologically Inspired Techniques in Many-Criteria Decision Making

2020-01-21 Technology & Engineering
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Release : 2020-01-21
Genre : Technology & Engineering
Kind : eBook
Book Rating : 330/5 ( reviews)

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Book Synopsis Biologically Inspired Techniques in Many-Criteria Decision Making by : Satchidananda Dehuri

Download or read book Biologically Inspired Techniques in Many-Criteria Decision Making written by Satchidananda Dehuri. This book was released on 2020-01-21. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses many-criteria decision-making (MCDM), a process used to find a solution in an environment with several criteria. In many real-world problems, there are several different objectives that need to be taken into account. Solving these problems is a challenging task and requires careful consideration. In real applications, often simple and easy to understand methods are used; as a result, the solutions accepted by decision makers are not always optimal solutions. On the other hand, algorithms that would provide better outcomes are very time consuming. The greatest challenge facing researchers is how to create effective algorithms that will yield optimal solutions with low time complexity. Accordingly, many current research efforts are focused on the implementation of biologically inspired algorithms (BIAs), which are well suited to solving uni-objective problems. This book introduces readers to state-of-the-art developments in biologically inspired techniques and their applications, with a major emphasis on the MCDM process. To do so, it presents a wide range of contributions on e.g. BIAs, MCDM, nature-inspired algorithms, multi-criteria optimization, machine learning and soft computing.

Semi-Markov Migration Models for Credit Risk

2017-06-01 Mathematics
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Release : 2017-06-01
Genre : Mathematics
Kind : eBook
Book Rating : 128/5 ( reviews)

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Book Synopsis Semi-Markov Migration Models for Credit Risk by : Guglielmo D'Amico

Download or read book Semi-Markov Migration Models for Credit Risk written by Guglielmo D'Amico. This book was released on 2017-06-01. Available in PDF, EPUB and Kindle. Book excerpt: Credit risk is one of the most important contemporary problems for banks and insurance companies. Indeed, for banks, more than forty percent of the equities are necessary to cover this risk. Though this problem is studied by large rating agencies with substantial economic, social and financial tools, building stochastic models is nevertheless necessary to complete this descriptive orientation. This book presents a complete presentation of such a category of models using homogeneous and non-homogeneous semi-Markov processes developed by the authors in several recent papers. This approach provides a good method of evaluating the default risk and the classical VaR indicators used for Solvency II and Basel III governance rules. This book is the first to present a complete semi-Markov treatment of credit risk while also insisting on the practical use of the models presented here, including numerical aspects, so that this book is not only useful for scientific research but also to managers working in this field for banks, insurance companies, pension funds and other financial institutions.

Cutting-Edge Research Topics on Multiple Criteria Decision Making

2009-07-09 Computers
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Release : 2009-07-09
Genre : Computers
Kind : eBook
Book Rating : 987/5 ( reviews)

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Book Synopsis Cutting-Edge Research Topics on Multiple Criteria Decision Making by : Yong Shi

Download or read book Cutting-Edge Research Topics on Multiple Criteria Decision Making written by Yong Shi. This book was released on 2009-07-09. Available in PDF, EPUB and Kindle. Book excerpt: MCDM 2009, the 20th International Conference on Multiple-Criteria Decision M- ing, emerged as a global forum dedicated to the sharing of original research results and practical development experiences among researchers and application developers from different multiple-criteria decision making-related areas such as multiple-criteria decision aiding, multiple criteria classification, ranking, and sorting, multiple obj- tive continuous and combinatorial optimization, multiple objective metaheuristics, multiple-criteria decision making and preference modeling, and fuzzy multiple-criteria decision making. The theme for MCDM 2009 was “New State of MCDM in the 21st Century.” The conference seeks solutions to challenging problems facing the development of multiple-criteria decision making, and shapes future directions of research by prom- ing high-quality, novel and daring research findings. With the MCDM conference, these new challenges and tools can easily be shared with the multiple-criteria decision making community. The workshop program included nine workshops which focused on different topics in new research challenges and initiatives of MCDM. We received more than 350 submissions for all the workshops, out of which 121 were accepted. This includes 72 regular papers and 49 short papers. We would like to thank all workshop organizers and the Program Committee for the excellent work in maintaining the conference’s standing for high-quality papers.

Intelligent Decision Making Through Bio-Inspired Optimization

2024-04-15 Business & Economics
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Release : 2024-04-15
Genre : Business & Economics
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Intelligent Decision Making Through Bio-Inspired Optimization by : Jaganathan, Ramkumar

Download or read book Intelligent Decision Making Through Bio-Inspired Optimization written by Jaganathan, Ramkumar. This book was released on 2024-04-15. Available in PDF, EPUB and Kindle. Book excerpt: Academic scholars, entrenched in the complexities of various domains, face the daunting task of navigating intricate decision-making scenarios. The prevailing need for efficient and effective decision-making tools becomes increasingly apparent as traditional methodologies struggle to keep pace with the demands of modern research and industry. This pivotal issue necessitates a shift, urging scholars to explore unconventional approaches that can transcend disciplinary boundaries and unlock new dimensions of problem-solving. In response to these pressing challenges, Intelligent Decision Making Through Bio-Inspired Optimization emerges as a beacon of ingenuity. This groundbreaking book transcends usual disciplinary boundaries, seamlessly integrating computer science, artificial intelligence, optimization, and decision science. Its multidisciplinary approach addresses the inherent complexities faced by scholars, offering a comprehensive exploration of nature-inspired algorithms such as genetic algorithms, swarm intelligence, and evolutionary strategies. The book's core mission is to empower academic scholars with the tools to overcome contemporary decision-making hurdles, providing a holistic understanding of these bio-inspired approaches and their potential to revolutionize the scholarly landscape.

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