2022
DOI: 10.3390/pr10122522
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Special Issue “Application of Fuzzy Control in Computational Intelligence”

Abstract: Due to the fitted structure of fuzzy logic, neural networks and evolutionary computing, neuro-fuzzy systems, evolutionary-fuzzy systems, and evolutionary neural systems, we can study computational intelligence [...]

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Cited by 2 publications
(1 citation statement)
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“…Over the last five years, advancements in soft computing and artificial intelligence have allowed researchers to better envision the significance of smart inherent in real-life observations, fueling explosive growth in the area of computational intelligence. As a result, Chang [1] has been able to define and describe real-life processes and behaviors that had been largely unexamined due to a lack of suitable methodologies for characterizing the inherent imprecision, uncertainties, and redundancies represented. Computational intelligence has allowed scientists to probe and uncover hitherto inaccessible levels of smarts in the systems they study.…”
Section: Introductionmentioning
confidence: 99%
“…Over the last five years, advancements in soft computing and artificial intelligence have allowed researchers to better envision the significance of smart inherent in real-life observations, fueling explosive growth in the area of computational intelligence. As a result, Chang [1] has been able to define and describe real-life processes and behaviors that had been largely unexamined due to a lack of suitable methodologies for characterizing the inherent imprecision, uncertainties, and redundancies represented. Computational intelligence has allowed scientists to probe and uncover hitherto inaccessible levels of smarts in the systems they study.…”
Section: Introductionmentioning
confidence: 99%