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.