Multivariate Methods Based Soft Measurement for Wine Quality Evaluation
Joint Authors
Liu, Lei
Gao, Xin
Yin, Shen
Karimi, Hamid Reza
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-02
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Soft measurement is a new, developing, and promising industry technology and has been widely used in the industry nowadays.
This technology plays a significant role especially in the case where some key variables are difficult to be measured by traditional measurementmethods.
In this paper, the quality of the wine is evaluated given the wine physicochemical indexes according to multivariate methods based soft measurement.
The multivariate methods used in this paper include ordinary least squares regression (OLSR), principal component regression (PCR), partial least squares regression (PLSR), and modified partial least squares regression (MPLSR).
By comparing the performance of the four methods, the MPLSR prediction model shows superior results than the others.
In general, to determine the quality of the wine, experienced wine tasters are hired to taste the wine and makea decision.
However, since the physicochemical indexes of wine can to some extent reflect the quality of wine, the multivariate statistical methods based soft measure can help the oenologist in wine evaluation.
American Psychological Association (APA)
Yin, Shen& Liu, Lei& Gao, Xin& Karimi, Hamid Reza. 2014. Multivariate Methods Based Soft Measurement for Wine Quality Evaluation. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1033972
Modern Language Association (MLA)
Yin, Shen…[et al.]. Multivariate Methods Based Soft Measurement for Wine Quality Evaluation. Abstract and Applied Analysis No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1033972
American Medical Association (AMA)
Yin, Shen& Liu, Lei& Gao, Xin& Karimi, Hamid Reza. Multivariate Methods Based Soft Measurement for Wine Quality Evaluation. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1033972
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1033972