This book contains a selection of the papers presented at the XVII SIGEF Congress. It presents fuzzy logic, neural networks and other intelligent techniques applied to economic and business problems. This book is very useful for researchers and graduate students aiming to introduce themselves to the field of quantitative techniques for overcoming uncertain environments. The contributors are experienced scholars of different countries who offer real world applications of these mathematical techniques./a

This book contains a selection of the papers presented at the XVII SIGEF Congress. It presents fuzzy logic, neural networks and other intelligent techniques applied to economic and business problems. This book is very useful for researchers and graduate students aiming to introduce themselves to the field of quantitative techniques for overcoming uncertain environments. The contributors are experienced scholars of different countries who offer real world applications of these mathematical techniques.

This book contains a selection of the papers presented at the XVII SIGEF Congress. It presents fuzzy logic, neural networks and other intelligent techniques applied to economic and business problems. This book is very useful for researchers and graduate students aiming to introduce themselves to the field of quantitative techniques for overcoming uncertain environments. The contributors are experienced scholars of different countries who offer real world applications of these mathematical techniques.

This book is a collection of selected papers presented at the SIGEF conference, held at the Faculty of Economics and Business of the University of Girona (Spain), 06-08 July, 2015. This edition of the conference has been presented with the slogan “Scientific methods for the treatment of uncertainty in social sciences”. There are different ways for dealing with uncertainty in management. The book focuses on soft computing theories and their role in assessing uncertainty in a complex world. It gives a comprehensive overview of quantitative management topics and discusses some of the most recent developments in all the areas of business and management in soft computing including Decision Making, Expert Systems and Forgotten Effects Theory, Forecasting Models, Fuzzy Logic and Fuzzy Sets, Modelling and Simulation Techniques, Neural Networks and Genetic Algorithms and Optimization and Control. The book might be of great interest for anyone working in the area of management and business economics and might be especially useful for scientists and graduate students doing research in these fields.

Results-based management (RBM) is a public management strategy that involves decision making based on reliable information regarding the effects of governmental actions on society. It has been adopted in various developed countries as a way of improving efficiency and effectiveness in public policy. In Latin American and Caribbean (LAC) countries, governments and public managers show increasing interest in this management strategy. Given the relative novelty of RBM in the region, however, there is scant literature on the subject. This book is intended to fill this gap in two ways. First, it seeks to describe some of the basic RBM concepts and adapt them according to regional characteristics. Second, it presents an assessment, based on studies carried out in 25 countries, of the challenges facing LAC countries and their capacity to implement results-based public management.

This publication reviews Ecuador's fiscal management and public expenditure policies in the context of its development and poverty reduction goals. Findings include that the country's impressive fiscal performance of 2003 is encouraging but fragile, as several structural bottlenecks could impede fiscal discipline and recovery. Reversing poverty trends is critical for the country's stability, and this can only be achieved with well-targeted, effective and efficient pro-poor programmes.