Fuzzy Models in Economics

✍ Scribed by Gorkhmaz Imanov

Publisher: Springer International Publishing;Springer
Year: 2021
Tongue: English
Leaves: 126
Series: Studies in Fuzziness and Soft Computing 402
Edition: 1st ed.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-xvi
Fuzzy Analysis of Socioeconomic Development Using Linguistic Intuitionistic Fuzzy Numbers (Gorkhmaz Imanov)....Pages 1-26
Fuzzy Analysis of Economic Diversification Level (Gorkhmaz Imanov)....Pages 27-39
Measuring the Financial Stability (Gorkhmaz Imanov)....Pages 41-53
Fuzzy Estimation of National Green Economy Index and Investments Distribution (Gorkhmaz Imanov)....Pages 55-71
Models of Socioeconomic Security (Gorkhmaz Imanov)....Pages 73-98
Assessment of the Development of Information Economy (Gorkhmaz Imanov)....Pages 99-113

✦ Subjects

Engineering; Computational Intelligence; Economic Growth; Applications of Mathematics

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