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Cited by 17 publications
(7 citation statements)
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“…In grey relational analysis (GRA), the data from experimental result is pre-processing to normalize the random grey data with varied units and the original sequences is converted into a comparable sequence between the values of zero to one [15]. The following equation shows the normalization method depends on the characteristic of the particular attributes.…”
Section: Grey Relational Analysis (Gra)mentioning
confidence: 99%
“…In grey relational analysis (GRA), the data from experimental result is pre-processing to normalize the random grey data with varied units and the original sequences is converted into a comparable sequence between the values of zero to one [15]. The following equation shows the normalization method depends on the characteristic of the particular attributes.…”
Section: Grey Relational Analysis (Gra)mentioning
confidence: 99%
“…The larger the correlation degree is, the tighter the time sequences associate with each other, and the more consistent the dynamic development trend is; and vice versa. Gray correlation analysis is an effective way to quantitatively describe and compare the dynamic trends of uncertain systems (Bhattacharya and Bepari, 2014;Rajesh and Ravi, 2015;Hashemi et al, 2015). Supposing there aren time-sequence points, t j represents the jth time-sequence point, thus the reference sequence X 0 is expressed as…”
Section: Gray Relational Analysis Theorymentioning
confidence: 99%
“…This involves the comparison of geometric configurations among curves. The closer the geometric configuration is, the closer the variation tendency is and the bigger the relational degree is and vice versa (Bhattacharya and Bepari, 2014). In general, absolute correlation degree can quantitatively characterise the relational degree among the factors in the grey system.…”
Section: Grey Relational Analysismentioning
confidence: 99%