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Fuzzy Logic in Financial Analysis

  • Anna Maria Gil-Lafuente

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 175)

About this book

Introduction

In today’s increasing complex and uncertain business environment, financial analysis is yet more critical to business managers who tackle the 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 to the new contributions that are now being made in the field of financial economy and intend to provide business with instruments and models that are suitable for the treatment of 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.

Keywords

Financial Analysis Financial Management Financial Means Fuzzy Fuzzy Sets Uncertainty calculus formal logic knowledge base logic sets

Authors and affiliations

  • Anna Maria Gil-Lafuente
    • 1
  1. 1.Facultad de Ciencias, Económicas y Empresariales, Dept. de Economía y Organización de EmpresasUniversidad de BarcelonaBarcelonaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-32368-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-23213-1
  • Online ISBN 978-3-540-32368-6
  • Series Print ISSN 1434-9922
  • Buy this book on publisher's site