Soft computing applications in the field of industrial and environmental enterprises
Alfredo Jiménez, Álvaro Herrero · Expert Systems · 2019
Artificial Intelligence (AI) has proved to be a promising field of study that can greatly contribute to the development of computational systems that successfully address an increasing number of challenges.From the very beginning, when the term was coined in 1956 during the Dartmouth Summer Research Project, researchers from this field have shared a vision that computers can be made to perform intelligent tasks (Moor, 2006).A vast array of different techniques has been proposed so far to implement such intelligent systems, ranging from expert or knowledge-based systems (some of the earlier products of AI) to cutting-edge proposals such us deep and machine learning.Among all the branches of the AI tree, in last decades, there has been significant progress in soft computing (Karray & De Silva, 2004).As pointed out by Zadeh (1994), while hard computing focuses on precision, certainty, and rigour, soft computing requires that computation, reasoning, and decision making exploit a tolerance for imprecision and uncertainty wherever possible (Zadeh, 1994).Soft computing can be seen as a