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Fuzzy Models in Economics

  • Book
  • © 2021

Overview

  • Offer a timely snapshot of fuzzy analysis applied to socioeconomic systems
  • Covers applications in social, environmental, and financial security
  • Presents a set of new models of socioeconomic systems

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 402)

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Table of contents (6 chapters)

Keywords

About this book

This book offers a timely guide to fuzzy methods applied to the analysis of socioeconomic systems. It provides readers with a comprehensive and up-to-date overview of the algorithms, including the theory behind them, as well as practical considerations, current limitations and solutions. Each chapter focuses on a different economic problem, explaining step by step the process to approach it, using the corresponding fuzzy tools. The book covers elements of intuitionistic fuzzy logics, fuzzy entropy and the fuzzy DEMATEL method, a fuzzy approach to calculate the financial stability index. It also reports on some new models of social, financial and ecological security, and on a novel fuzzy method for evaluating the quality of development of information economy.

Authors and Affiliations

  • Doctor of Economic Sciences, Foreign member, Real Academia de Ciencias Economicas y Financieras (R.A.C.E.F), Corresponding Member of ANAS, Head, Fuzzy Economy Laboratory Control System Institute, National Academy of Sciences of Azerbaijan (NASA), Baku, Azerbaijan

    Gorkhmaz Imanov

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