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Interval Type II Fuzzy Number Generation From Data Set Applied to Sedation Stage Classification

Interval Type II Fuzzy Number Generation From Data Set Applied to Sedation Stage Classification

Efendi Nasibov, Sinem Peker
Copyright: © 2020 |Pages: 37
ISBN13: 9781799825814|ISBN10: 1799825817|EISBN13: 9781799825821
DOI: 10.4018/978-1-7998-2581-4.ch008
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MLA

Nasibov, Efendi, and Sinem Peker. "Interval Type II Fuzzy Number Generation From Data Set Applied to Sedation Stage Classification." Computational Intelligence and Soft Computing Applications in Healthcare Management Science, edited by Muhammet Gul, et al., IGI Global, 2020, pp. 158-194. https://doi.org/10.4018/978-1-7998-2581-4.ch008

APA

Nasibov, E. & Peker, S. (2020). Interval Type II Fuzzy Number Generation From Data Set Applied to Sedation Stage Classification. In M. Gul, E. Celik, S. Mete, & F. Serin (Eds.), Computational Intelligence and Soft Computing Applications in Healthcare Management Science (pp. 158-194). IGI Global. https://doi.org/10.4018/978-1-7998-2581-4.ch008

Chicago

Nasibov, Efendi, and Sinem Peker. "Interval Type II Fuzzy Number Generation From Data Set Applied to Sedation Stage Classification." In Computational Intelligence and Soft Computing Applications in Healthcare Management Science, edited by Muhammet Gul, et al., 158-194. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-2581-4.ch008

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Abstract

There are several ways to summarize the data set by using measures of locations, dispersions, charts, and so on. But how can the data set be represented or shown when uncertainty exists in the environment process? Usage of the fuzzy number can be a way to handle the uncertainty in the representation of the data set. This chapter focuses on the membership function construction from the data set and introduces the formulas for the interval Type-2 generalized bell-shaped fuzzy number generation based on the data set. The bispectral index scores (BIS) are processed to see the ability of the offered methods in the construction of the interval Type -2 generalized bell-shaped membership function in the real data set. The obtained membership functions are used for a classification problem of sedation stages according to BIS data sets. Classification accuracies are calculated.

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