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Fuzzy Soft Set and Its Engineering Applications

Fuzzy Soft Set and Its Engineering Applications

K. Bhargavi
Copyright: © 2022 |Pages: 14
ISBN13: 9781799879794|ISBN10: 1799879798|ISBN13 Softcover: 9781799879800|EISBN13: 9781799879817
DOI: 10.4018/978-1-7998-7979-4.ch014
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MLA

Bhargavi, K. "Fuzzy Soft Set and Its Engineering Applications." Handbook of Research on Advances and Applications of Fuzzy Sets and Logic, edited by Said Broumi, IGI Global, 2022, pp. 310-323. https://doi.org/10.4018/978-1-7998-7979-4.ch014

APA

Bhargavi, K. (2022). Fuzzy Soft Set and Its Engineering Applications. In S. Broumi (Ed.), Handbook of Research on Advances and Applications of Fuzzy Sets and Logic (pp. 310-323). IGI Global. https://doi.org/10.4018/978-1-7998-7979-4.ch014

Chicago

Bhargavi, K. "Fuzzy Soft Set and Its Engineering Applications." In Handbook of Research on Advances and Applications of Fuzzy Sets and Logic, edited by Said Broumi, 310-323. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-7998-7979-4.ch014

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Abstract

Uncertainty is the difference between actual information and obtained information which can exists in two different forms: one is randomness, and another is impreciseness. The fuzzy soft sets are widely used in a variety of applications in the fields of medical science, automation industry, engineering, economics, share market, social science, game theory, operational research, and so on. Chemical engineering, electrical engineering, mechanical engineering, computer science engineering, and telecommunication engineering are prone to a variety of uncertainty in terms of system uncertainty and parameter uncertainty. Hence, with the application of fuzzy soft set, the uncertainty in the mentioned engineering types can be handled very well. In this chapter, fuzzy soft set is applied for handling the uncertainty in the mentioned engineering domains. The performance achieved by the fuzzy soft set-enabled computer science and engineering and biotechnology is found to be good towards the performance metrics like response time, throughput, resource utilization rate, and error rate.

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