Vikas Kumar, Pramod Kumar, Rahul Gautam, and Amit Tyagi
Department of Computer Application, Shri Ram College, Muzaffarnagar, UP, India
Received: Oct 23, 2021 / Revised: Nov 19, 2021/ Accepted: Nov 22, 2021
Abstract
The increasing complexity and abundance of data in modern computing environments require creative approaches to handling uncertain and noisy data. This investigation examines the latest developments in soft computing, with the goal of offering efficient methods for dealing with the inherent complexities of various datasets. Concentrating on essential soft computing principles, this analysis investigates their contributions to improving decision-making, fostering flexibility, and guaranteeing strong performance when confronted with real-world data complexities.
Keywords: Soft Computing, Advancements Uncertain Data, Noisy Data, Next Generation Computers, Fuzzy Logic, Neural Networks, Genetic Algorithms, Swarm Intelligence, Computational Intelligence
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How to cite this article
Kumar, V., Kumar, P., Gautam, R. and Tyagi, A. (2021). Advancements in soft computing for effective handling of uncertain and noisy data in the next generation of computers. Science Archives, Vol. 2 (4) 349-354. http://dx.doi.org/10.47587/SA.2021.2414
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