2006
DOI: 10.1016/s1004-4132(06)60021-2
|View full text |Cite
|
Sign up to set email alerts
|

Ranking method for the reciprocal judgment matrix based on the unascertained three-valued judgments

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2011
2011
2020
2020

Publication Types

Select...
3
2

Relationship

0
5

Authors

Journals

citations
Cited by 6 publications
(1 citation statement)
references
References 4 publications
0
1
0
Order By: Relevance
“…(1) Determine the importance weight index value of the evaluation index relative to the upper layer index by adopting a pairwise comparison method and build the judgment matrix A = [a ij ] n×n [87] by adopting a 1-9 ratio scale, in which a ij > 0, a ij = 1/a ji , a ii = 1, where a ij refers to the scale value, which compares between index i and index j. (2) From AW = λ max W, the characteristic vector of W can be obtained and then normalized to calculate the weight index vector W = [w 1 , w 2 , .…”
Section: Principles Of the Ahpmentioning
confidence: 99%
“…(1) Determine the importance weight index value of the evaluation index relative to the upper layer index by adopting a pairwise comparison method and build the judgment matrix A = [a ij ] n×n [87] by adopting a 1-9 ratio scale, in which a ij > 0, a ij = 1/a ji , a ii = 1, where a ij refers to the scale value, which compares between index i and index j. (2) From AW = λ max W, the characteristic vector of W can be obtained and then normalized to calculate the weight index vector W = [w 1 , w 2 , .…”
Section: Principles Of the Ahpmentioning
confidence: 99%