Sustainable Development And Quality of Life

This volume examines progress in sustainable and resilient development of niche forms of tourism from a health and wellbeing perspective. It also aims to offer deep and innovative insights on the supporting role of non-pharmaceutical interventions to enhance resilience and wellbeing of visited and visiting communities. A comparative and critical discourse of the role of hard medicine is also offered, from both a core and supplementary perspective, particularly, from eudaimonic and physiologically restorative standpoints. Furthermore, indigenous non-pharmaceutical interventions and spiritual healing mechanisms are discussed in the context of their potential to facilitate long term immunity and happiness.

This book provides a new model for clustering, classification, and time series prediction by using artificial neural networks to computationally simulate the behavior of the cognitive functions of the brain is presented. This model focuses on the study of intelligent hybrid neural systems and their use in time series analysis and decision support systems. Therefore, through the development of eight case studies, multiple time series related to the following problems are analyzed: traffic accidents, air quality and multiple global indicators (energy consumption, birth rate, mortality rate, population growth, inflation, unemployment, sustainable development, and quality of life). The main contribution consists of a Generalized Type-2 fuzzy integration of multiple indicators (time series) using both supervised and unsupervised neural networks and a set of Type-1, Interval Type-2, and Generalized Type-2 fuzzy systems. The obtained results show the advantages of the proposed model of Generalized Type-2 fuzzy integration of multiple time series attributes. This book is intended to be a reference for scientists and engineers interested in applying type-2 fuzzy logic techniques for solving problems in classification and prediction. We consider that this book can also be used to get novel ideas for new lines of research, or to continue the lines of research proposed by the authors of the book.