Design and Evaluation of a Prototype Fuzzy-logic-based Knowledge System for Financial Ratio Analysis PDF Download
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Author: Fred Junior Ganoe
Publisher:
ISBN:
Category : Expert systems (Computer science)
Languages : en
Pages : 434
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Book Description
Author: Fred Junior Ganoe
Publisher:
ISBN:
Category : Expert systems (Computer science)
Languages : en
Pages : 434
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Book Description
Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 978
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Author: George Bojadziev
Publisher: World Scientific
ISBN: 9812706496
Category : Business & Economics
Languages : en
Pages : 253
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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.
Author: Tomasz Korol
Publisher:
ISBN:
Category :
Languages : en
Pages : 24
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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.
Author:
Publisher:
ISBN:
Category : Dissertation abstracts
Languages : en
Pages : 696
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Author:
Publisher:
ISBN:
Category : Cybernetics
Languages : en
Pages : 490
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Author: Akira Ishikawa
Publisher: Springer Science & Business Media
ISBN:
Category : Business & Economics
Languages : en
Pages : 200
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Book Description
Fuzzy knowledge and fuzzy systems affect our lives today as systems enter the world of commerce. Fuzzy systems are incorporated in domestic appliances (washing machine, air conditioning, microwave, telephone) and in transport systems (a pilotless helicopter has recently completed a test flight). Future applications are expected to have dramatic implications for the demand for labour, among other things.
Author:
Publisher:
ISBN:
Category : Cybernetics
Languages : en
Pages : 770
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Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 654
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Author:
Publisher:
ISBN:
Category : Cybernetics
Languages : en
Pages : 668
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