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The Implementation of Fuzzy Logic in Forecasting Financial Ratios

The Implementation of Fuzzy Logic in Forecasting Financial Ratios PDF Author: Tomasz Korol
Publisher:
ISBN:
Category :
Languages : en
Pages : 24

Book Description
This paper is devoted to the issue of forecasting financial ratios. The objective of the conducted research is to develop a predictive model with the use of an innovative methodology, i.e., fuzzy logic theory, and to evaluate its effectiveness. Fuzzy logic has been widely used in machinery, robotics and industrial engineering. This paper introduces the use of fuzzy logic for the financial analysis of enterprises. While many current phenomena in finance and economics are fuzzy, they are treated as if they are crisp. Fuzzy logic provides an appropriate tool for modeling imprecise, uncertain and ambiguous phenomena. Because the financial situation of a company is affected by many factors (economic, political, psychological, etc.) that cannot be precisely and unambiguously defined, the approach used in this paper greatly enhances the predictive power of financial analysis and makes it an economically useful tool for the management of enterprises. Empirically, this paper employs three testing samples: Central European enterprises, Latin American companies and global firms. From the verification of these models, it is evident that the refined processes are effective in improving the forecasting of financial situations of all three types of enterprises. The models created by the author are characterized by high efficiency. This study is one of the world's first attempts to combine ratio analysis with fuzzy logic to predict the financial situations of companies.

The Implementation of Fuzzy Logic in Forecasting Financial Ratios

The Implementation of Fuzzy Logic in Forecasting Financial Ratios PDF Author: Tomasz Korol
Publisher:
ISBN:
Category :
Languages : en
Pages : 24

Book Description
This paper is devoted to the issue of forecasting financial ratios. The objective of the conducted research is to develop a predictive model with the use of an innovative methodology, i.e., fuzzy logic theory, and to evaluate its effectiveness. Fuzzy logic has been widely used in machinery, robotics and industrial engineering. This paper introduces the use of fuzzy logic for the financial analysis of enterprises. While many current phenomena in finance and economics are fuzzy, they are treated as if they are crisp. Fuzzy logic provides an appropriate tool for modeling imprecise, uncertain and ambiguous phenomena. Because the financial situation of a company is affected by many factors (economic, political, psychological, etc.) that cannot be precisely and unambiguously defined, the approach used in this paper greatly enhances the predictive power of financial analysis and makes it an economically useful tool for the management of enterprises. Empirically, this paper employs three testing samples: Central European enterprises, Latin American companies and global firms. From the verification of these models, it is evident that the refined processes are effective in improving the forecasting of financial situations of all three types of enterprises. The models created by the author are characterized by high efficiency. This study is one of the world's first attempts to combine ratio analysis with fuzzy logic to predict the financial situations of companies.

Fuzzy Logic for Business, Finance, and Management

Fuzzy Logic for Business, Finance, and Management PDF Author: George Bojadziev
Publisher: World Scientific
ISBN: 9812706496
Category : Business & Economics
Languages : en
Pages : 253

Book Description
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.

Multi-Criteria Decision-Making Techniques for Improvement Sustainability Engineering Processes

Multi-Criteria Decision-Making Techniques for Improvement Sustainability Engineering Processes PDF Author: Edmundas Kazimieras Zavadskas
Publisher: MDPI
ISBN: 3039367781
Category : Science
Languages : en
Pages : 490

Book Description
The success of any activity and process depends fundamentally on the possibility of balancing (symmetry) needs and their satisfaction. That is, the ability to properly define a set of success indicators. The application of the developed new multi-criteria decision-making (MCDM) methods can be eliminated or decreased by decision-makers’ subjectivity, which leads to consistency or symmetry in the weight values of the criteria. In this Special Issue, 40 research papers and one review study co-authored by 137 researchers from 23 different countries explore aspects of multi-criteria modeling and optimization in crisp or uncertain environments. The papers propose new approaches and elaborate case studies in the following areas of application: MCDM optimization in sustainable engineering, environmental sustainability in engineering processes, sustainable multi-criteria production and logistics processes planning, integrated approaches for modeling processes in engineering, new trends in the multi-criteria evaluation of sustainable processes, and multi-criteria decision-making in strategic management based on sustainable criteria.

Applications of Fuzzy Sets and the Theory of Evidence to Accounting

Applications of Fuzzy Sets and the Theory of Evidence to Accounting PDF Author: Philip H. Siegel
Publisher: JAI Press(NY)
ISBN:
Category : Business & Economics
Languages : en
Pages : 326

Book Description
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.

Clustering of Financial Ratios of the Quoted Companies Through Fuzzy Logic Method

Clustering of Financial Ratios of the Quoted Companies Through Fuzzy Logic Method PDF Author: Ekrem Tufan
Publisher:
ISBN:
Category :
Languages : en
Pages : 18

Book Description
Financial rates, in terms of investors, are of great importance in the expansion of the companies to whose share they are going to invest. Financial rates have been benefited from especially in determining the risk while a portfolio is being formed, in changing the existing risk or in determining the alternative shares. In literature has been researched whether more than average income of the market is possible to obtain considering financial rates.In this respect, using fuzzy logic method the companies that are the subjects in the study are clustered and it is presented to the investors as a risk scale. The investor, according to the portfolio he/she is going to form, can not only determine which shares he/she should buy but he/she will be able to learn about the share which has the same profit level and the same risk as well if the share he/she wants to buy is not available.What is aimed to be achieved in this study is helping the investor form a portfolio and the companies at question be clustered with the help of financial rates.

Fuzzy Logic and NeuroFuzzy Applications in Business and Finance

Fuzzy Logic and NeuroFuzzy Applications in Business and Finance PDF Author: Constantin Von Altrock
Publisher: Prentice Hall
ISBN: 9780135915127
Category : Business
Languages : en
Pages : 0

Book Description
In this hands-on, practical guide, you'll walk through powerful fuzzy logic business applications for business, including risk assessment, forecasting, supplier evaluation, customer targeting, and scheduling. You'll watch fuzzy logic at work analyzing credit risk, evaluating leases, making stock market decisions, and uncovering fraud.

Applying Fuzzy Logic for the Digital Economy and Society

Applying Fuzzy Logic for the Digital Economy and Society PDF Author: Andreas Meier
Publisher: Springer
ISBN: 3030033686
Category : Business & Economics
Languages : en
Pages : 207

Book Description
This edited book presents the state-of-the-art of applying fuzzy logic to managerial decision-making processes in areas such as fuzzy-based portfolio management, recommender systems, performance assessment and risk analysis, among others. Presenting the latest research, with a strong focus on applications and case studies, it is a valuable resource for researchers, practitioners, project leaders and managers wanting to apply or improve their fuzzy-based skills.

Design and Evaluation of a Prototype Fuzzy-logic-based Knowledge System for Financial Ratio Analysis

Design and Evaluation of a Prototype Fuzzy-logic-based Knowledge System for Financial Ratio Analysis PDF Author: Fred Junior Ganoe
Publisher:
ISBN:
Category : Expert systems (Computer science)
Languages : en
Pages : 434

Book Description


Production Engineering and Management under Fuzziness

Production Engineering and Management under Fuzziness PDF Author: Cengiz Kahraman
Publisher: Springer Science & Business Media
ISBN: 3642120512
Category : Business & Economics
Languages : en
Pages : 566

Book Description
Production engineering and management involve a series of planning and control activities in a production system. A production system can be as small as a shop with only one machine or as big as a global operation including many manufacturing plants, distribution centers, and retail locations in multiple continents. The product of a production system can also vary in complexity based on the material used, technology employed, etc. Every product, whether a pencil or an airplane, is produced in a system which depends on good management to be successful. Production management has been at the center of industrial engineering and management science disciplines since the industrial revolution. The tools and techniques of production management have been so successful that they have been adopted to various service industries, as well. The book is intended to be a valuable resource to undergraduate and graduate students interested in the applications of production management under fuzziness. The chapters represent all areas of production management and are organized to reflect the natural order of production management tasks. In all chapters, special attention is given to applicability and wherever possible, numerical examples are presented. While the reader is expected to have a fairly good understanding of the fuzzy logic, the book provides the necessary notation and preliminary knowledge needed in each chapter.

Business Intelligence in Economic Forecasting: Technologies and Techniques

Business Intelligence in Economic Forecasting: Technologies and Techniques PDF Author: Wang, Jue
Publisher: IGI Global
ISBN: 1615206302
Category : Computers
Languages : en
Pages : 406

Book Description
With the rapid development of economic globalization and information technology, the field of economic forecasting continues its expeditious advancement, providing business and government with applicable technologies. This book discusses various business intelligence techniques including neural networks, support vector machine, genetic programming, clustering analysis, TEI@I, fuzzy systems, text mining, and many more. It serves as a valuable reference for professionals and researchers interested in BI technologies and their practical applications in economic forecasting, as well as policy makers in business organizations and governments.