Fuzzy Logic In Financial Analysis
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Fuzzy Logic In Financial Analysis
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Author : Anna Maria Gil-Lafuente
language : en
Publisher: Springer
Release Date : 2006-06-10
Fuzzy Logic In Financial Analysis written by Anna Maria Gil-Lafuente and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-06-10 with Technology & Engineering categories.
In today’s increasingly complex and uncertain business environment, financial analysis is yet more critical to business managers who tackle problems of an economic or business nature. Knowledge based on formal logic and even experience becomes less sufficient. This volume systematically sets out the basic elements on which to base financial analysis for business in the new century. It incorporates a previous work that can serve as the basis and foundation for the new contributions that are now being made in the field of financial economy and intend to provide business with instruments and models suitable for dealing with the new economic context. In dealing with rapid and unpredictable changes in technological and business conditions, it postulates a growing reliance on the opinions of experts instead of past data or probabilistic forecasts, which is a radical change but may yield fruitful results. For this reason, much emphasis is devoted to the problem of aggregation of the opinion of experts in the financial field, with the object of limiting, wherever possible, the subjective component of the opinions and making sure that the decisions have the best guarantee of reaching the desired objectives.
Fuzzy Logic For Business Finance And Management
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Author : George Bojadziev
language : en
Publisher: World Scientific
Release Date : 2007
Fuzzy Logic For Business Finance And Management written by George Bojadziev and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Business & Economics categories.
This is truly an interdisciplinary book for knowledge workers in business, finance, management and socio-economic sciences based on fuzzy logic. It serves as a guide to and techniques for forecasting, decision making and evaluations in an environment involving uncertainty, vagueness, impression and subjectivity. Traditional modeling techniques, contrary to fuzzy logic, do not capture the nature of complex systems especially when humans are involved. Fuzzy logic uses human experience and judgement to facilitate plausible reasoning in order to reach a conclusion. Emphasis is on applications presented in the 27 case studies including Time Forecasting for Project Management, New Product Pricing, and Control of a Parasit-Pest System.
Fuzzy Logic For Business Finance And Management
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language : en
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Fuzzy Logic For Business Finance And Management written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Soft Computing In Economics And Finance
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Author : Ludmila Dymowa
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-01-21
Soft Computing In Economics And Finance written by Ludmila Dymowa and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-21 with Technology & Engineering categories.
Currently the methods of Soft Computing are successfully used for risk analysis in: budgeting, e-commerce development, portfolio selection, Black-Scholes option pricing models, corporate acquisition systems, evaluating investments in advanced manufacturing technology, interactive fuzzy interval reasoning for smart web shopping, fuzzy scheduling and logistic. An essential feature of economic and financial problems it that there are always at least two criteria to be taken into account: profit maximization and risk minimization. Therefore, the economic and financial problems are multiple criteria ones. In this book, a new systematization of the problems of multiple criteria decision making is proposed which allows the author to reveal unsolved problems. The solutions of them are presented as well and implemented to deal with some important real-world problems such as investment project’s evaluation, tool steel material selection problem, stock screening and fuzzy logistic. It is well known that the best results in real -world applications can be obtained using the synthesis of modern methods of soft computing. Therefore, the developed by the author new approach to building effective stock trading systems, based on the synthesis of fuzzy logic and the Dempster-Shafer theory, seems to be a considerable contribution to the application of soft computing method in economics and finance. An important problem of capital budgeting is the fuzzy evaluation of the Internal Rate of Return. In this book, this problem is solved using a new method which makes it possible to solve linear and nonlinear interval and fuzzy equations and systems of them. The developed new method allows the author to obtain an effective solution of the Leontjev’s input-output problem in the interval setting.
Trading On The Edge
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Author : Guido J. Deboeck
language : en
Publisher: John Wiley & Sons
Release Date : 1994-04-18
Trading On The Edge written by Guido J. Deboeck and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-04-18 with Business & Economics categories.
Experts from the world's major financial institutions contributed to this work and have already used the newest technologies. Gives proven strategies for using neural networks, algorithms, fuzzy logic and nonlinear data analysis techniques to enhance profitability. The latest analytical breakthroughs, the impact on modern finance theory and practice, including the best ways for profitably applying them to any trading and portfolio management system, are all covered.
Applications Of Fuzzy Sets And The Theory Of Evidence To Accounting
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Author : Philip H. Siegel
language : en
Publisher: JAI Press(NY)
Release Date : 1995
Applications Of Fuzzy Sets And The Theory Of Evidence To Accounting written by Philip H. Siegel and has been published by JAI Press(NY) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Accounting categories.
This monograph is designed to introduce methods of dealing with uncertainty so often present in problems of accounting. Traditionally, uncertainty in accounting was handled by statistical methods, but this book applies fuzzy logic, the theory of evidence and rough sets to the problem.
Data Mining In Finance
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Author : Boris Kovalerchuk
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-04-18
Data Mining In Finance written by Boris Kovalerchuk and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-04-18 with Computers categories.
Data Mining in Finance presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, ruled-based, decision-tree, and fuzzy-logic methods, and then examines the suitability of these approaches to financial data mining. The book focuses specifically on relational data mining (RDM), which is a learning method able to learn more expressive rules than other symbolic approaches. RDM is thus better suited for financial mining, because it is able to make greater use of underlying domain knowledge. Relational data mining also has a better ability to explain the discovered rules - an ability critical for avoiding spurious patterns which inevitably arise when the number of variables examined is very large. The earlier algorithms for relational data mining, also known as inductive logic programming (ILP), suffer from a relative computational inefficiency and have rather limited tools for processing numerical data. Data Mining in Finance introduces a new approach, combining relational data mining with the analysis of statistical significance of discovered rules. This reduces the search space and speeds up the algorithms. The book also presents interactive and fuzzy-logic tools for `mining' the knowledge from the experts, further reducing the search space. Data Mining in Finance contains a number of practical examples of forecasting S&P 500, exchange rates, stock directions, and rating stocks for portfolio, allowing interested readers to start building their own models. This book is an excellent reference for researchers and professionals in the fields of artificial intelligence, machine learning, data mining, knowledge discovery, and applied mathematics.
Fuzzy Business Models And Esg Risk
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Author : Magdalena Ziolo
language : en
Publisher: Springer Nature
Release Date : 2023-11-14
Fuzzy Business Models And Esg Risk written by Magdalena Ziolo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-14 with Business & Economics categories.
This book discusses fuzzy business models and focuses on using fuzzy logic in business processes from the perspective of financial institutions when integrating ESG factors and risk. Developing and examining sustainable business models requires an appropriate methodology that would consider the specificity of business models because the measurement of this phenomenon is often based on values from specific ranges and requires a fuzzy approach. According to the law, regulations, and recommendations, financial institutions and businesses must incorporate Environmental Social Governance factors and ESG risk in their decision-making process. Sustainable financial institutions include ESG risk in their risk management system, strategies, and policies. As a result, they hope to mitigate ESG risk and create sustainable value in their business models with an impact on sustainable value creation. This book discusses this phenomenon in detail. One of the first on the market to address the issue of fuzzy business models, the book also deals comprehensively with the fuzzy logic in modeling business processes, decision-making processes, and business models using examples from financial institutions, and will be of interest to researchers, professors, and students of sustainable finance, banking, and sustainable development alongside corporate sustainability.
Investing In Mutual Funds Using Fuzzy Logic
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Author : Kurt Peray
language : en
Publisher: CRC Press
Release Date : 1999-06-25
Investing In Mutual Funds Using Fuzzy Logic written by Kurt Peray and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-06-25 with Business & Economics categories.
Fuzzy Logic is an analytical tool used in the modeling of those phenomena that fall outside the scope of exact sciences. It is used in the analysis of complex and highly nonlinear processes, where mathematical models or standard classic logic cannot define conditions inherent to such processes, e.g. human thinking. Kurt Peray's detailed analysis of the new approaches and techniques for Risk Control and Portfolio Asset Allocation - which uses the principles of Fuzzy Logic - helps you to make decisions as to when to buy, hold or sell. While making independent and educated decisions, you will be able to hedge your portfolio from the volatile forces in the market, and will offset the erosive impact of inflation and taxation. In this electronic age, investors have quick access to important information relevant to the decision process. The guidelines and formulas that serve as foundations to the Fuzzy Logic approach gives you the ability to build customized programs. Investing in Mutual Funds Using Fuzzy Logic is for the individual who wants to invest in financial instruments that will provide a return for growth. With the investment approach he devised, Peray guides the you towards achieving your investment goals.
Fuzzy Sets In The Management Of Uncertainty
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Author : Jaime Gil-Aluja
language : en
Publisher: Springer
Release Date : 2013-06-29
Fuzzy Sets In The Management Of Uncertainty written by Jaime Gil-Aluja and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-29 with Computers categories.
Fuzzy Sets in the Management of Uncertainty presents an overview of current problems in business management, primarily for those situations involving decision making of an economic-financial nature. The monograph therefore discusses problems of planning, programming, control and brings light to the entire financial network in its three phases: raising funds, analysis and investment. Special attention is paid to production processes and marketing of products and services. This monograph is a highly readable overview and introduction for scientists, professionals, graduate students, managers and consultants in the growing field of applications and fuzzy logic in the field of management.