Fuzzy Control

Moewes, Christian; Mikut, Ralf; Kruse, Rudolf

doi:10.1007/978-3-662-43505-2_17

Cited by 3 publications

(2 citation statements)

References 33 publications

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“…Momeni et al [34] presented Kolomogorov-Smirnov for testing the normality of the fuzzy data. More applications of fuzzy-based tests can be seen in Van Cutsem and Gath [29,35], Mohanty and AnnanNaidu [36], Moradnezhadi [37], Moewes et al [38] and Choi et al [39].…”

Section: Introductionmentioning

confidence: 99%

A new goodness of fit test in the presence of uncertain parameters

Aslam

2020

Complex Intell. Syst.

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The Weibull distribution has been widely used in the areas of quality and reliability. The Anderson–Darling test has been popularly used either the data in hand follow the Weibull distribution or not. The existing Anderson–Darling test under classical statistics is applied when all the observations in quality and reliability work are determined, précised, and exact. In the areas of reliability and quality, the data may indeterminate, in-interval and fuzzy. In this case, the existing Anderson–Darling test cannot be applied for testing the assumption of the Weibull distribution. In this paper, we present the Anderson–Darling test under neutrosophic statistics. We present the methodology to fit the neutrosophic Weibull distribution on the data. We discuss the testing procedure with the help of reliability data. We present the comparisons of the proposed test with the existing Anderson–Darling the goodness of fit test under classical statistics. From the comparison, it is concluded that the proposed test is more informative than the existing Anderson–Darling test under an indeterminate environment. In addition, the proposed test gives information about the measure of indeterminacy.

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Section: Introductionmentioning

confidence: 99%

A new goodness of fit test in the presence of uncertain parameters

Aslam

2020

Complex Intell. Syst.

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“…Reference [25] discussed the application of fuzzy logic in decision making. For more details, the reader may see [26][27][28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Solar Energy Data Using a New Anderson-Darling Test under Indeterminacy

Aslam

Algarni

2020

International Journal of Photoenergy

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The generalization of the Anderson-Darling (AD) test under neutrosophic statistics is presented in this paper. We present the designing and operating procedure of neutrosophic Anderson-Darling when the quality of interest follows the neutrosophic normal distribution. The application of the proposed test is given using data from the renewable energy field. From the analysis of the data, it is concluded that the proposed test is effective and information to be applied when the data is recorded from the complex system in the renewable energy field.

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Analyzing wind power data using analysis of means under neutrosophic statistics

Aslam

2021

Soft Comput

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Fuzzy Control

Cited by 3 publications

References 33 publications

A new goodness of fit test in the presence of uncertain parameters

A new goodness of fit test in the presence of uncertain parameters

Analyzing the Solar Energy Data Using a New Anderson-Darling Test under Indeterminacy

Analyzing wind power data using analysis of means under neutrosophic statistics

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