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Fuzzy Logic in Financial Analysis

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  • © 2005

Overview

  • Systematic presentation of the recent basic elements of financial analysis for business
  • New methods for complex and uncertain business environment

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

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Table of contents (23 chapters)

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About this book

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.

Reviews

From the reviews:

"The book under review offers a wide survey of modern ideas and methods regarding the mathematical and logical treatment of recent business and economy. … The book is written on a mathematically simple level using elementary computational tools acceptable for a wide scale of readers." (Milan Mareš, Zentralblatt MATH, Vol. 1112 (8), 2007)

Authors and Affiliations

  • Facultad de Ciencias, Económicas y Empresariales, Dept. de Economía y Organización de Empresas, Universidad de Barcelona, Barcelona, Spain

    Anna Maria Gil-Lafuente

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