Soft Computing is an interdisciplinary area that encompasses a variety of computing
paradigms. Examples of some popular soft computing paradigms include fuzzy computing …

Soft Computing refers to the science of reasoning, thinking and deduction that recognizes
and uses the real world phenomena of grouping, memberships, and classification of various …

In the early 1990s, soft computing (SC) gained popularity due to its efficiency in handling
problems with imprecision, approximation, decision making, and uncertainty. Unlike earlier …

Soft computing is a vital tool used for performing several computing operations. It uses one
or more computational models or techniques to generate optimum outcomes. As …

Rapid advancements in the application of soft computing tools and techniques have proven
valuable in the development of highly scalable systems. Although many resources on the …

This book contains recent theoretical innovations and a comprehensive collection of
industrial applications in the emerging field of Soft Computing. Soft computing is a new form …

Soft computing techniques have made significant contributions to modern life by solving a
broad category of problems with effective answers. Even though optimization problems can …

The guiding principle of soft computing (SC) is to exploit the tolerance for imprecision,
uncertainty, partial truth, and approximation to achieve tractability, robustness, and low …

The proclivity of today's technology to think like humans may be seen in new developing
disciplines such as neural computing, fuzzy logic, evolutionary computation, machine …

Soft computing encompasses various computational methodologies, which, unlike
conventional algorithms, are tolerant of imprecision, uncertainty, and partial truth. Soft …