Successful development of effective computational systems is a
challenge for IT developers across sectors due to uncertainty
issues that are inherently present within computational problems.
Soft computing proposes one such solution to the problem of
uncertainty through the application of generalized set structures
including fuzzy sets, rough sets, and multisets. The Handbook of
Research on Generalized and Hybrid Set Structures and Applications
for Soft Computing presents double blind peer-reviewed and original
research on soft computing applications for solving problems of
uncertainty within the computing environment. Emphasizing essential
concepts on generalized and hybrid set structures that can be
applied across industries for complex problem solving, this timely
resource is essential to engineers across disciplines, researchers,
computer scientists, and graduate-level students.
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