Artificial Intelligence Techniques For Modeling Financial Analysis

by Rodriguez, Alejandro Martins

Abstract (Summary)
Although Monitoring Financial Health Of Small Firms Is Decisive To Their Success Thesefirms Commonly Presents Difficulties In Order To Analyze Their Operational Financialcondition In Order To Overcome This Fact The Present Thesis Propose a Financialknowledge Representation That Is Capable To Propose Alternatives Of Actionwhenever a Deviation Could Be Detected The Knowledge Representation Developed Recognizes The Existence Of Two Differentphases Of Analysis One That Looks For Some Clues About Possible Financial Problemsand Another One That Focus On With More Detail The Potential Problems Detected Bythe Prior Phase The Vagueness Presented In Many Semantic Rules Was Implemented By Using Thetheory Of Fuzzy Sets The Uncertainty About The Future Behavior Of Some Key Financialvariables Is Incorporated By The Meaning Of Managers? Perceptions About Trends Andevents A Practical Formulation Of This Proposal Is Done Considering The Retail Business Sector
Bibliographical Information:

Advisor:Ricardo Miranda Barcia; Ricardo Miranda Barcia; Luiz Fernando Jacintho Maia; Rogério Cid Bastos; Alvaro Guillermo Rojas Lezana

School:Universidade Federal de Santa Catarina

School Location:Brazil

Source Type:Master's Thesis

Keywords:engenharia de produção financial ratios turnover working capital


Date of Publication:03/14/1996

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