Decision Making and Decision Support Systems
Effective decision-making is an complex process that needs to be nurtured in time. Effective decision has positive effects on all…
More infoarrow_forward
Computational Intelligence Area
Computational Intelligence is an area within the field of Artificial Intelligence that focuses on the design of intelligent computer systems that imitate nature and human linguistic reasoning to solve complex problems.
In this field of research, three lines of development of intelligent systems converge that make up the center of Computational Intelligence: emulation of human linguistic reasoning through the theory of fuzzy sets, neural networks that imitate the nervous system, and bioinspired optimization algorithms (grouped within the research area called Metaheuristics).
Research Lines
Research lines in the area of Computational Intelligence:
Fuzzy systems for data analysis
Models that use fuzzy sets as a tool in data analysis allow knowledge to be represented in a way that…
More infoarrow_forwardEvolutionary and bioinspired algorithms for optimization
In the last fifty years, the field of optimization has been revolutionized by the arrival of new algorithms, called meta-heristics,…
More infoarrow_forwardDeep Learning
The complexity of the information with which we currently operate, with large sets of attributes describing each of the data…
More infoarrow_forwardArea Coordinators
Luis Martínez López, Universidad de Jaén
Enrique Herrera-Viedma, Universidad de Granada
Antonio González Muñoz, Universidad de Granada