Neutrosophic analysis of variance: application to university students
The existing analysis of variance (ANOVA) test cannot be applied when the sample is selected from the population having come imprecise, fuzzy and uncertain observations. The neutrosophic statistics will be applied to analyze the data having uncertain observations or the parameters. In this paper, we...
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| Vydáno v: | Complex & intelligent systems Ročník 5; číslo 4; s. 403 - 407 |
|---|---|
| Hlavní autor: | |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Cham
Springer International Publishing
01.12.2019
Springer Nature B.V |
| Témata: | |
| ISSN: | 2199-4536, 2198-6053 |
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| Abstract | The existing analysis of variance (ANOVA) test cannot be applied when the sample is selected from the population having come imprecise, fuzzy and uncertain observations. The neutrosophic statistics will be applied to analyze the data having uncertain observations or the parameters. In this paper, we will introduce the neutrosophic analysis of variance (NANONA). The NANONA is an extension of the classical ANOVA. We presented the NANONA table. We performed the NANONA to test teaching methods using data collected from the university students. |
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| AbstractList | The existing analysis of variance (ANOVA) test cannot be applied when the sample is selected from the population having come imprecise, fuzzy and uncertain observations. The neutrosophic statistics will be applied to analyze the data having uncertain observations or the parameters. In this paper, we will introduce the neutrosophic analysis of variance (NANONA). The NANONA is an extension of the classical ANOVA. We presented the NANONA table. We performed the NANONA to test teaching methods using data collected from the university students. |
| Author | Aslam, Muhammad |
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| References | Chen, Ye, Du (CR14) 2017; 9 Jiryaei, Parchami, Mashinchi (CR19) 2013; 4 Abdel-Basset, Atef, Smarandache (CR1) 2018 Aslam (CR11) 2019 Abdel-Basset, Manogaran, Gamal (CR4) 2018; 22 Aslam (CR10) 2018; 10 Abdel-Basset, Gunasekaran, Mohamed (CR3) 2018 Abdel-Basset, Mohamed, Smarandache (CR7) 2018; 10 Chen, Ye, Du, Yong (CR15) 2017; 9 Abdel-Basset, Manogaran, Mohamed, Chilamkurti (CR5) 2018; 89 Ulusoy (CR29) 2008; 188 Abdel-Basset, Gunasekaran, Mohamed, Chilamkurti (CR2) 2019; 90 CR30 González-Rodríguez, Colubi, Gil (CR18) 2012; 56 Niedoba, Pięta (CR22) 2016; 23 Abdel-Basset, Zhou, Mohamed, Chang (CR8) 2018; 34 Blanco-Fernández, Casals, Colubi, Corral, Garcıa-Bárzana, Gil, González-Rodrıguez, López, Lubiano, Montenegro (CR12) 2013; 10 De Andres-Sánchez (CR16) 2012; 12 Lee, Jung, Yoon, Choi (CR20) 2017; 17 García, Kalenatic, Bello, Huang, Jo, Lee, Kang, Bevilacqua (CR17) 2009 Parthiban, Gajivaradhan (CR24) 2016; 11 Borgonovo, Morris, Plischke (CR13) 2018; 6 Abdel-Basset, Mohamed, Chang (CR6) 2018; 86 CR26 Armstrong, Eperjesi, Gilmartin (CR9) 2002; 22 Ozturk (CR23) 2014; 56 Lin, Arbaiy, Hamid, Herawan, Ghazali, Nawi, Deris (CR21) 2017 Peña, Cerrada, Alvarez, Jadán, Lucero, Milton, Guamán, Sánchez (CR25) 2018; 34 Smarandache (CR27) 2014 Tarrío-Saavedra, Naya, Francisco-Fernández, Artiaga, Lopez-Beceiro (CR28) 2011; 105 G González-Rodríguez (107_CR18) 2012; 56 A Blanco-Fernández (107_CR12) 2013; 10 J Chen (107_CR15) 2017; 9 M Abdel-Basset (107_CR5) 2018; 89 S Parthiban (107_CR24) 2016; 11 107_CR30 W-J Lee (107_CR20) 2017; 17 M Abdel-Basset (107_CR6) 2018; 86 M Abdel-Basset (107_CR7) 2018; 10 M Abdel-Basset (107_CR2) 2019; 90 PC Lin (107_CR21) 2017 M Aslam (107_CR10) 2018; 10 E Borgonovo (107_CR13) 2018; 6 M Peña (107_CR25) 2018; 34 S Ozturk (107_CR23) 2014; 56 J Tarrío-Saavedra (107_CR28) 2011; 105 107_CR26 U Ulusoy (107_CR29) 2008; 188 T Niedoba (107_CR22) 2016; 23 M Abdel-Basset (107_CR4) 2018; 22 F Smarandache (107_CR27) 2014 JCF García (107_CR17) 2009 A Jiryaei (107_CR19) 2013; 4 M Abdel-Basset (107_CR3) 2018 M Abdel-Basset (107_CR8) 2018; 34 M Aslam (107_CR11) 2019 J De Andres-Sánchez (107_CR16) 2012; 12 M Abdel-Basset (107_CR1) 2018 RA Armstrong (107_CR9) 2002; 22 J Chen (107_CR14) 2017; 9 |
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| SubjectTerms | Complexity Computational Intelligence Data Structures and Information Theory Engineering Original Article Parameter uncertainty Students Teaching methods Test procedures University students Variance analysis |
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| Title | Neutrosophic analysis of variance: application to university students |
| URI | https://link.springer.com/article/10.1007/s40747-019-0107-2 https://www.proquest.com/docview/2310967640 |
| Volume | 5 |
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