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

References

Band, S. S., Ardabili, S., Mosavi, A., Jun, C., Khoshkam, H., & Moslehpour, M. (2022). Feasibility of soft computing techniques for estimating the long-term mean monthly wind speed. Energy Reports, 8, 638–648. https://doi.org/10.1016/j.egyr.2021.11.247

Hossain, S. M. Z., Sultana, N., Jassim, M. S., Coskuner, G., Hazin, L. M., Razzak, S. A., & Hossain, M. M. (2022). Soft-computing modeling and multiresponse optimization for nutrient removal process from municipal wastewater using microalgae. Journal of Water Process Engineering, 45, 102490. https://doi.org/10.1016/j.jwpe.2021.102490

Wang, Y., Fei, L., Feng, Y., Wang, Y., & Liu, L. (2022). A hybrid retrieval strategy for case-based reasoning using soft likelihood functions. Soft Computing, 26(7), 3489–3501. https://doi.org/10.1007/s00500-022-06733-5

Yang, L., Chun, Y., Liu, Y., Wang, C., & Yang, J. (2022). A novel quality evaluation method for standardized experiment teaching. Soft Computing, 26(14), 6889–6906.  https://doi.org/10.1007/s00500-021-06636-x

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

Licence                  Article Metadata

This work is licensed under a Creative Commons Attribution 4.0 International License.

[pdf_attachment file="1" name="View Details"]