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Digital era and fuzzy applications in management and economy

Record Type:	Electronic resources : Monograph/item
Title/Author:	Digital era and fuzzy applications in management and economyedited by Martha del Pilar Rodriguez Garcia ... [et al.].
other author:	Rodriguez Garcia, Martha del Pilar.
Published:	Cham :Springer International Publishing :2022.
Description:	x, 195 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	ManagementData processing.
Online resource:	https://doi.org/10.1007/978-3-030-94485-8
ISBN:	9783030944858$q(electronic bk.)

Digital era and fuzzy applications in management and economy
Digital era and fuzzy applications in management and economy[electronic resource] /edited by Martha del Pilar Rodriguez Garcia ... [et al.]. - Cham :Springer International Publishing :2022. - x, 195 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v. 3842367-3389 ;. - Lecture notes in networks and systems ;v.1..

Wavelet entropy and complexity analysis of cryptocurrencies dynamics -- The Use of Fuzzy Decoupled Net Present Value in pepper production -- The effect of energy prices on Mexican households' consumption -- How to Cope with Complexity in Decision-Making: an Application of Fuzzy Qualitative Comparative Analysis in the Triage Process -- ESG risk disclosure and earning timelines in the Mexican capital market using fuzzy logic regression -- The Digital Taxation Adoption and its Impact on Income Tax in Mexico (2010-2020)

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.

ISBN: 9783030944858$q(electronic bk.)

Standard No.: 10.1007/978-3-030-94485-8doiSubjects--Topical Terms:

219227
Management
--Data processing.

LC Class. No.: HD30.2 / .D54 2022

Dewey Class. No.: 658.05633

Digital era and fuzzy applications in management and economy
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490 1 $a Lecture notes in networks and systems, $x 2367-3389 ; $v v. 384
505 0 $a Wavelet entropy and complexity analysis of cryptocurrencies dynamics -- The Use of Fuzzy Decoupled Net Present Value in pepper production -- The effect of energy prices on Mexican households' consumption -- How to Cope with Complexity in Decision-Making: an Application of Fuzzy Qualitative Comparative Analysis in the Triage Process -- ESG risk disclosure and earning timelines in the Mexican capital market using fuzzy logic regression -- The Digital Taxation Adoption and its Impact on Income Tax in Mexico (2010-2020)
520 $a 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.
650 0 $a Management $x Data processing. $3 219227
650 0 $a Industrial management $x Data processing. $3 201192
650 0 $a Organizational effectiveness $x Data processing. $3 925094
650 0 $a Fuzzy logic. $3 181981
650 0 $a Fuzzy systems. $3 182084
650 0 $a Neural networks (Computer science) $3 181982
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Data Engineering. $3 839346
650 2 4 $a Quantitative Economics. $3 913171
650 2 4 $a Operations Research, Management Science. $3 511451
650 2 4 $a Game Theory. $3 737094
650 2 4 $a Industrial Management. $3 910688
700 1 $a Rodriguez Garcia, Martha del Pilar. $3 925093
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