Two Approximation Models of Fuzzy Weight Vector from a Comparison Matrix
Author
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-24
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
In this study, our uncertain judgment on multiple items is denoted as a fuzzy weight vector.
Its membership function is estimated from more than one interval weight vector.
The interval weight vector is obtained from a crisp/interval comparison matrix by Interval Analytic Hierarchy Process (AHP).
We redefine it as a closure of the crisp weight vectors which approximate the comparison matrix.
The intuitively given comparison matrix is often imperfect so that there could be various approaches to approximate it.
We propose two of them: upper and lower approximation models.
The former is based on weight possibility and the weight vector with it includes the comparison matrix.
The latter is based on comparison possibility and the comparison matrix with it includes the weight vector.
American Psychological Association (APA)
Entani, Tomoe. 2018. Two Approximation Models of Fuzzy Weight Vector from a Comparison Matrix. Advances in Fuzzy Systems،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-986248
Modern Language Association (MLA)
Entani, Tomoe. Two Approximation Models of Fuzzy Weight Vector from a Comparison Matrix. Advances in Fuzzy Systems No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-986248
American Medical Association (AMA)
Entani, Tomoe. Two Approximation Models of Fuzzy Weight Vector from a Comparison Matrix. Advances in Fuzzy Systems. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-986248
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-986248