Paper Info
Title
A linguistic multi-criteria decision making approach based on logical reasoning
Abstract
In real decision making problems, it is always more natural for decision makers to use linguistic terms to express their preferences/opinions in a qualitative way among alternatives than to provide quantitative values. Additionally, many of these decision making problems are under uncertain environments with vague and imprecise information involved. Following the idea of Computing with Words (CWW) methodology, we propose in this paper a linguistic valued qualitative aggregation and reasoning framework for multi-criteria decision making problems, where a linguistic valued algebraic structure is constructed for modelling the linguistic information involved in multi-criteria decision making problems, and a linguistic valued logic based approximate reasoning method is developed to infer the final decision making result. This method takes the advantage of handling the linguistic information, no matter totally ordered or partially ordered, directly without numerical approximation, and having a non-classical logic as its formal foundation for decision making process.
Year
DOI
Venue
2014
10.1016/j.ins.2013.08.040
Inf. Sci.
Keywords
Field
DocType
non-classical logic,approximate reasoning method,linguistic multi-criteria decision,multi-criteria decision,final decision,imprecise information,qualitative aggregation,linguistic term,real decision,logical reasoning,decision maker,linguistic information
Decision analysis,Rule-based machine translation,Logical reasoning,Business decision mapping,Influence diagram,Artificial intelligence,Evidential reasoning approach,Linguistics,Machine learning,Decision-making,Mathematics,Decision engineering
Journal
Volume
ISSN
Citations 
258,
0020-0255
21
PageRank 
References 
Authors
0.77
34
5
Name
Order
Citations
PageRank
Shuwei Chen112112.14
Jun Liu264456.21
Hui Wang325724.41
Yang Xu471183.57
Juan Carlos Augusto51344145.59