Soft Computing: Coping with Complexity

Soft Computing: Coping with Complexity

While it has been correctly noted that the expression “soft computing” is employed in a variety of senses and characterizations to designate a wide array of technologies, we argue that the original motivation for the introduction of soft-computing methods was the need to cope with the complexity of existing mathematical and computational models of real-world systems. We review this essential mo...

Coping with Complexity

W e offer a new typology of problems according to such a t t r ibutes as the fuzzy set of possible solutions, the fuzzy set of properties a solution should have, the fuzzy set of knowledge necessary and sufficient to find a solution, deadlines and constraints. Problems are ranked by degree of ' s t ructuredness ' f rom well-s tructured to ill-defined. Some real problems are shown to be ill-defi...

Coping with Complexity

Pothole Detection by Soft Computing

Subject- Potholes on roads are regarded as serious problems in the transportation domain and ignoring them leads to the increase of accidents, traffic, vehicle fuel consumption and waste of time and energy. As a result, pothole detection has attracted researchers’ attention and different methods have been presented for it up to now. Background- The major part of previous research is based on i...

Coping with Complexity and Uncertainty

The computational and heuristic strategies used by decision makers to manage uncertainty in complex systems originated with the early landmark contributions of J. von Neumann. These contributions took the form of artificial intelligence and artificial life concepts, and then evolved more specifically into game theory, expert systems, neural networks, genetic algorithms and evolutionary computat...