María T. Lamata

María T. Lamata received a M.S. degree in mathematics and a Ph.D. degree in sciences from the University of Granada, Spain, in 1975 and 1986, respectively. She is a full Professor at Department of Computer Science and Artificial Intelligence (DECSAI), University of Granada, Spain, and director of the Models of Decision and Optimization (MODO) Research Group. She has published more than 150 scientific and technical papers in leading scientific journals, and has been Advisor of 4 Ph.D. dissertations. She has served on many international program committees and has attended numerous national and international conferences, congresses, and workshops. She has been Principal Investigator in a variety of national and international research and educational projects. She currently lead two research projects on “Quality solution evaluation using Soft Computing Techniques: Applications” and on “Viability of the applications of Soft Computing to Sustainable Areas”. Apart from this she is currently involved in a research project on “Applicability of the Soft Computing in Advanced Technology Environments: Sustainability”. She also is a member of the Editorial Board of the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. Her current scientific interests are Soft Computing, fuzzy sets and systems, OWA operators, decision support systems, and linguistic labels.

Publications

Exploring Innovative and Successful Applications of Soft Computing
Antonio D. Masegosa, Pablo J. Villacorta, Carlos Cruz-Corona, M. Socorro García-Cascales, María T. Lamata, José L. Verdegay. © 2014. 375 pages.
The evolution of soft computing applications has offered a multitude of methodologies and techniques that are useful in facilitating new ways to address practical and real...
Decision Criteria for Optimal Location of Wind Farms
Juan Miguel Sánchez-Lozano, M. Socorro García-Cascales, María T. Lamata, Carlos Sierra. © 2014. 17 pages.
The objective of the present chapter is to obtain the weights of the criteria that influences a decision problem of vital necessity to the current energy perspectives, which is...