Multiple Attribute Group Decision Making Method Based on Utility Theory Under Interval-Valued Intuitionistic Fuzzy Environment
Fangwei Zhang () and
Additional contact information
Fangwei Zhang: Shanghai Maritime University
Shihe Xu: Zhaoqing University
Group Decision and Negotiation, 2016, vol. 25, issue 6, No 9, 1275 pages
Abstract In this paper, a kind of multiple attribute group decision making problem is studied, where there is no original information about the weights of importance of the attributes and the decision makers (DMs), and the attribute values are given in the form of interval-valued intuitionistic fuzzy numbers (IVIFNs). To solve this problem, a new method is proposed based on utility theory. In the proposed method, the weights of importance of the DMs and the attributes are all determined by using the intuitionistic indexes of related IVIFNs. And then, the alternatives are compared by using their composite interval indexes which are generated based on utility theory. Finally, two numerical examples are proposed to demonstrate the effectiveness of the proposed method.
Keywords: Interval-valued intuitionistic fuzzy set; Multiple attribute decision making; Intuitionistic index; Interval number; Utility theory (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations Track citations by RSS feed
Downloads: (external link)
http://link.springer.com/10.1007/s10726-016-9473-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:spr:grdene:v:25:y:2016:i:6:d:10.1007_s10726-016-9473-y
Ordering information: This journal article can be ordered from
Access Statistics for this article
Group Decision and Negotiation is currently edited by Gregory E. Kersten
More articles in Group Decision and Negotiation from Springer
Series data maintained by Sonal Shukla ().