Soft Computing is a complex of methodologies that includes artificial neural networks, genetic algorithms, fuzzy logic, Bayesian networks, and their hybrids. It admits approximate …
This book comprises a selection of papers from IFSA 2007 on theoretical advances and applications of fuzzy logic and soft computing. These papers were selected from over 400 …
CP Lim, VE Balas, Q Do - Journal of Intelligent & Fuzzy …, 2013 - content.iospress.com
Soft Computing is an interdisciplinary area that encompasses a variety of computing paradigms. Examples of some popular soft computing paradigms include fuzzy computing …
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 complex of methodologies that embraces approximate reasoning, imprecision, uncertainty and partial truth in order to mimic the remarkable human capability …
R Agrawal, O Sharma, NO Aljehane… - Journal of Integrated …, 2023 - pubs.thesciencein.org
The purpose, importance, approach, qualities, and requirement of soft computing are all discussed in this study. Apart from that, the paper describes the work of numerous writers in …
Soft computing (SC) is a term originally coined by Zadeh (1994) to denote systems that exploit the tolerance for imprecision, uncertainty, and partial truth to achieve tractability …
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 provides a comprehensive knowledge of the fundamental concepts and techniques in soft computing, which is a burning topic of research now-a-days in the field of …