A STUDY ON SOFT COMPUTING AND APPLICATIONS
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Abstract
Soft computing is a growing set of approaches that strive to provide resilience,
tractability, and cheap cost by leveraging tolerance for imprecision uncertainty and partial
truth. It may appear to be a highly appealing alternative to a totally digital system, but there
are several traps in store for researchers attempting to implement this new and intriguing
technology. Software computing offers an appealing way to represent ambiguity in human
thought with real-world uncertainty. The main approaches of soft computing include fuzzy
logic, neural networks, and evolutionary computation. Both neural networks and fuzzy
systems can be utilised for nonlinear processing.
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