Description
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.
Reviews and Testimonials
John presents readers with a collection of professional and academic articles and essays that together make up a handbook of research on emerging and contemporary theories and applications for generalized and hybrid set structures and soft computing in general. The twenty-four contributions that make up the text cover the theory of multisets and applications, fuzzy multisets and fuzzy computing, intuitionistic fuzzy multisets and their applications, and many other related topics.
– ProtoView Reviews
Author's/Editor's Biography
Sunil John (Ed.)
Sunil Jacob John is Associate Professor at Dept. of Mathematics, National Institute of Technology Calicut, India.