Abstract :
Ranking fuzzy numbers is a very important decision-making
procedure in decision analysis and applications. The last few decades
have seen a large number of methods investigated for ranking fuzzy
numbers, yet some of these approaches are non-intuitive and inconsistent.
The most commonly used approaches for ranking fuzzy numbers
are ranking indices based on centroid of fuzzy numbers. Despite their
merits, there are some weakness associated with these indices. This paper
review several recent fuzzy numbers ranking methods based on centroid
points, then proposes a new centroid index ranking method that
is capable of effectively ranking various types of fuzzy numbers. The
presented method is compared with the given attitude by the way of
centroid point. The contents herein present several comparative examples
demonstrating the usage and advantages of the proposed centroid
index ranking method for fuzzy numbers. Meanwhile, it can overcome
the drawback of other methods.
