Ordering based decision making: a survey
Chen, Shuwei, Liu, Jun, Wang, Hui and Augusto, Juan Carlos ORCID: https://orcid.org/0000-0002-0321-9150
(2013)
Ordering based decision making: a survey.
Information Fusion, 14
(4)
.
pp. 521-531.
ISSN 1566-2535
[Article]
(doi:10.1016/j.inffus.2012.10.005)
|
PDF
- Final accepted version (with author's formatting)
Download (272kB) | Preview |
Abstract
Decision making is the crucial step in many real applications such as organization management, financial planning, products evaluation and recommendation. Rational decision making is to select an alternative from a set of different ones which has the best utility (i.e., maximally satisfies given criteria, objectives, or preferences). In many cases, decision making is to order alternatives and select one or a few among the top of the ranking. Orderings provide a natural and effective way for representing indeterminate situations which are pervasive in commonsense reasoning. Ordering based decision making is then to find the suitable method for evaluating candidates or ranking alternatives based on provided ordinal information and criteria, and this in many cases is to rank alternatives based on qualitative ordering information. In this paper, we discuss the importance and research aspects of ordering based decision making, and review the existing ordering based decision making theories and methods along with some future research directions.
Item Type: | Article |
---|---|
Keywords (uncontrolled): | Decision making; ordering relation; preference; lattice; logic; aggregation |
Research Areas: | A. > School of Science and Technology > Computer Science > Intelligent Environments group A. > School of Science and Technology > Computer Science |
Item ID: | 9977 |
Useful Links: | |
Depositing User: | Dr. Juan C. Augusto |
Date Deposited: | 24 Apr 2013 10:57 |
Last Modified: | 30 Nov 2022 00:06 |
URI: | https://eprints.mdx.ac.uk/id/eprint/9977 |
Actions (login required)
![]() |
View Item |
Statistics
Additional statistics are available via IRStats2.