Author: | Anna M Gil-Lafuente, Luciano Barcellos de-Paula, José M Merigó-Lindahl;Fernando Augusto Silva-Marins;Antonio Carlos de Azevedo-Ritto | ISBN: | 9789814452069 |
Publisher: | World Scientific Publishing Company | Publication: | November 29, 2012 |
Imprint: | WSPC | Language: | English |
Author: | Anna M Gil-Lafuente, Luciano Barcellos de-Paula, José M Merigó-Lindahl;Fernando Augusto Silva-Marins;Antonio Carlos de Azevedo-Ritto |
ISBN: | 9789814452069 |
Publisher: | World Scientific Publishing Company |
Publication: | November 29, 2012 |
Imprint: | WSPC |
Language: | English |
This book analyzes some of the most recent advances in the field of decision making and fuzzy systems applied to business and economics presented at the International Conference on Modeling and Simulation (MS'12 Rio de Janeiro), 10–13 December, 2012. In this conference, a special focus is given to the fundamental concept of sustainable development. Other key applications in business, economics and finance are also considered.
In general, it is very useful for graduate students and researchers interested in pursuing research that combines quantitative techniques such as modeling and simulation and decision making with business and economic problems. This is especially useful when dealing with complex environments where the information is very uncertain and additional mathematical and statistical techniques are needed in order to understand the specific situations considered.
Contents:
Readership: Graduate students, researchers and academics in area of computer science, business management, and probability & statistics.
Key Features:
This book analyzes some of the most recent advances in the field of decision making and fuzzy systems applied to business and economics presented at the International Conference on Modeling and Simulation (MS'12 Rio de Janeiro), 10–13 December, 2012. In this conference, a special focus is given to the fundamental concept of sustainable development. Other key applications in business, economics and finance are also considered.
In general, it is very useful for graduate students and researchers interested in pursuing research that combines quantitative techniques such as modeling and simulation and decision making with business and economic problems. This is especially useful when dealing with complex environments where the information is very uncertain and additional mathematical and statistical techniques are needed in order to understand the specific situations considered.
Contents:
Readership: Graduate students, researchers and academics in area of computer science, business management, and probability & statistics.
Key Features: