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Digital Era and Fuzzy Applications in Management and Economy

  • Conference proceedings
  • © 2022

Overview

  • Analyses uncertain environments, complex networks, and optimization problems in the digital era
  • Requires instruments compatible with the uncertain environment of economics
  • Aims to contribute to the discussion about the implications of fuzzy logic

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 384)

Included in the following conference series:

Conference proceedings info: XX SIGEF 2021.

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Table of contents (13 papers)

  1. Finance and Economy

  2. Management and Accounting

  3. Methodological Issues

  4. Technology and Business Innovation

Other volumes

  1. Digital Era and Fuzzy Applications in Management and Economy

Keywords

About this book

This book aims to contribute to the discussion about the implications of fuzzy logic, neural networks, digital era, and other intelligent techniques on organizations. This book will be very useful for academic researchers and postgraduate students aiming to introduce themselves to the field of quantitative techniques for overcoming uncertain environments and developing models to make decisions. Developments in other theories and socioeconomic and computational changes have shed light on the importance of fuzzy applications in social sciences. The treatment of uncertainty in the economic and business analysis is fundamental and requires instruments compatible with the uncertain environment of economics and business, because most of the traditional models have been overtaken by this reality when trying to make decisions with uncertain information.
 In the face of information technology, digitization, and uncertainty, organizations confront new opportunities and challenges. In order to take advantage of these opportunities and overcome current and future challenges, it is needed to understand the evolution of these phenomenon.

Editors and Affiliations

  • Nuevo Leon State University, San Nicolás de los Garza, Mexico

    Martha del Pilar Rodríguez García, Klender Aimer Cortez Alejandro

  • School of Information, Systems and Modelling, University of Technology, Sydney, Australia

    José M. Merigó

  • Department of Business Management, Universitat Rovira i Virgili, Reus, Spain

    Antonio Terceño-Gómez, Maria Teresa Sorrosal Forradellas

  • Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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