Document Type
Article
Publication Date
Summer 2009
Publication Title
Information Sciences
Volume
179
Issue
17
First Page
3026
Keywords
Multiattribute decision making, Interval-valued intuitionistic fuzzy numbers (IVIFNs), Uncertainty index, Linear programming
Last Page
3040
Abstract
This article proposes an approach to multiattribute decision making with incomplete attribute weight information where individual assessments are provided as interval-valued intuitionistic fuzzy numbers (IVIFNs). By employing a series of optimization models, the proposed approach derives a linear program for determining attribute weights. The weights are subsequently used to synthesize individual IVIFN assessments into an aggregated IVIFN value for each alternative. In order to rank alternatives based on their aggregated IVIFN values, a novel method is developed for comparing two IVIFNs by introducing two new functions: the membership uncertainty index and the hesitation uncertainty index. An illustrative investment decision problem is employed to demonstrate how to apply the proposed procedure and comparative studies are conducted to show its overall consistency with existing approaches.
Recommended Citation
Wang, Zhou-Jing; Li, Kevin W. Dr.; and Wang, Weize. (2009). An approach to multiattribute decision making with interval-valued intuitionistic fuzzy assessments and incomplete weights. Information Sciences, 179 (17), 3026-3040.
https://scholar.uwindsor.ca/odettepub/65
Comments
NOTICE: this is the author’s version of a work that was accepted for publication in Information Sciences. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Information Sciences, 179, 17 (2009) http://dx.doi.org/10.1016/j.ins.2009.05.001.