Document Type
Article
Publication Date
12-2014
Publication Title
Journal of Systems Science and Systems Engineering
Volume
23
Issue
4
First Page
460
Keywords
Interval fuzzy preference relation, additive consistency, acceptable consistency, weak transitivity, decision making
Last Page
479
Abstract
This article introduces a consistency index for measuring the consistency level of an interval fuzzy preference relation (IFPR). An approach is then proposed to construct an additive consistent IFPR from a given inconsistent IFPR. By using a weighted averaging method combining the original IFPR and the constructed consistent IFPR, a formula is put forward to repair an inconsistent IFPR to generate an IFPR with acceptable consistency. An iterative algorithm is subsequently developed to rectify an inconsistent IFPR and derive one with acceptable consistency and weak transitivity. The proposed approaches can not only improve consistency of IFPRs but also preserve the initial interval uncertainty information as much as possible. Numerical examples are presented to illustrate how to apply the proposed approaches.
DOI
10.1007/s11518-014-5259-4
Recommended Citation
Qian, Wu-Yong; Li, Kevin; and Wang, Zhou-Jing. (2014). Approaches to improving consistency of interval fuzzy preference relations. Journal of Systems Science and Systems Engineering, 23 (4), 460-479.
https://scholar.uwindsor.ca/odettepub/92
Comments
The final publication is available at Springer via http://dx.doi.org/10.1007/s11518-014-5259-4