In this paper a granular approach for intelligent control using generalized type-2 fuzzy logic
is presented. Granularity is used to divide the design of the global controller into several …

Soft computing is a collective methodology that touches all engineering and technology
fields owing to its easiness in solving various problems while comparing the conventional …

Given simple agent rules, a swarm's emergent behavior can be difficult to predict. The
inverse problem is even more difficult: Given a desired emergent behavior, what are the …

The way heuristic optimizers are designed has evolved over the decades, as computing
power has increased. Such has been the case for the Linear Ordering Problem (LOP), a field …

The availability of quality human resources was important for the continuity excellence of the
company and for gaining competitive advantage in the company. It could be obtained by …

In this paper a method to design modular fuzzy controllers using genetic optimization is
presented. The method is tested with a problem that requires 5 individual controllers …

Basic concepts related to disconnectedness in an intuitionistic fuzzy C C-ends are
constructed. The conceptual ideas related to the intuitionistic fuzzy C C-centred system is …

Abstract Science, Technology, Engineering and Maths (STEM) subjects are increasingly
important in the 21st century as the world looks for new solutions to global problems. A …

The constant evolution of the energy industry, has introduced the need for ongoing research
studies about climate change due to its direct action on the production of alternative …

Increasing the autonomy of mobile robotic systems implies endowing their control systems
with elements of artificial intelligence. In order to ensure the sustainable functioning of …