IEEE - CIMSA 2011

The wide and increasing needs of adaptable and flexible solutions for many industrial, environmental, and engineering applications point out the importance of using design methodologies and implementation technologies with high ability of adaptation and evolution. Soft computing is one of the most relevant answers to such needs: neural networks, fuzzy logic, and genetic/evolutionary algorithms are fundamental keys to tackle these difficult problems. On the other hand, accuracy and uncertainty issues as well as suited data acquisition systems must be carefully considered in these applications since the quality of the solution greatly relies on them. Up to now, analysis and experiments have been performed by scientists and practitioners mainly to understand the underlying technologies and methodologies, but without any specific focus on the mandatory need of a quantitative assessment and a metrological analysis. Measurement science and technologies are vital to ensure the correct and effective use of soft computing technologies in real environments. CIMSA 2011 will continue the exciting experience of the previous editions by filling this gap in knowledge and practice, by focusing on the quantitative aspect of measurement issues for industrial, environmental, and engineering applications.