Soft computing: integrating evolutionary, neural, and fuzzy systems

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  • Soft computing: integrating evolutionary, neural, and fuzzy systems
  • Year:
  • 2001

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Abstract

Soft computing encompasses various computational methodologies, which, unlike conventional algorithms, are tolerant of imprecision, uncertainty, and partial truth. Soft computing technologies offer adaptability as a characteristic feature and thus permit the tracking of a problem through a changing environment. Besides some recent developments in areas like rough sets and probabilistic networks, fuzzy logic, evolutionary algorithms, and artificial neural networks are core ingredients of soft computing, which are all bio-inspired and can easily be combined synergistically.