Effective decision-making is an complex process that needs to be nurtured in time. Effective decision has positive effects on all the departments, and equal damage is caused by an ineffective decision. Hence, decision makers face many situations wherein it is quite tough to make a decision. A careful study of various challenges faced will lead […]
Models that use fuzzy sets as a tool in data analysis allow knowledge to be represented in a way that is very close to natural language. Additionally, fuzzy systems allow modeling complex scenarios such as those with lack of data or uncertainty. Fuzzy evolutionary systems, which are a prominent area in Computational Intelligence, are evolutionary […]
The identification of missing persons is a global challenge. The number of found and unidentified bodies increases every year due to factors such as natural disasters (increasingly frequent due to climate change) and conflicts (wars, terrorism, etc.), among others. Forensic medicine is the discipline that, among its main tasks, deals with the identification of human […]
Throughout the second half of the last century, a set of metaheuristics inspired by evolution and collective intelligence appeared that have had transcendent repercussions in the field of optimization; they are evolutionary algorithms, ant colony optimization (ACO) and particle swarm optimization (PSO). The success of these bioinspired optimization techniques has led, at present, to a […]
The complexity of the information with which we currently operate, with large sets of attributes describing each of the data samples, implies the need to also have models capable of extracting the most important characteristics, identifying hidden relationships between them and generating higher level representations. These are aspects in which the different families of deep […]