An intuitionstic fuzzy factorial analysis model for multi-attribute decision-making under random environment
Xiaohong Chen,
Hui Li and
Chunqiao Tan
Journal of the Operational Research Society, 2019, vol. 70, issue 1, 81-100
Abstract:
In real multi-attribute decision-making problems, attributes are usually correlated and performances of alternatives are affected by random environmental factors. This paper proposes an intuitionistic fuzzy factorial analysis model for multi-attribute decision-making, where correlative phenomenon among attributes and random decision-making environment is considered. First, the measure of correlation coefficient for random intuitionistic fuzzy variables is introduced. Based on this measure, an intuitionistic fuzzy factorial analysis model is proposed under random environment. Then, the procedure and algorithm of random multi-attribute decision-making based on intuitionistic fuzzy factorial analysis model is given. Finally, two examples are discussed, and detailed comparisons are given to demonstrate the feasibility and validity of the proposed technique.
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1080/01605682.2017.1421849 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tjorxx:v:70:y:2019:i:1:p:81-100
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjor20
DOI: 10.1080/01605682.2017.1421849
Access Statistics for this article
Journal of the Operational Research Society is currently edited by Tom Archibald
More articles in Journal of the Operational Research Society from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().