A note on ranking of L-R fuzzy numbers

Abstract Numerous ranking methods have been proposed and investigated so-far. Most of the ranking methods discussed only normal fuzzy numbers, but in many cases (such as risk analysis, approximate reasoning, etc.,) the normal fuzzy number is not adequate. In this paper, we introduced a new ranking m...
Ausführliche Beschreibung

Abstract Numerous ranking methods have been proposed and investigated so-far. Most of the ranking methods discussed only normal fuzzy numbers, but in many cases (such as risk analysis, approximate reasoning, etc.,) the normal fuzzy number is not adequate. In this paper, we introduced a new ranking method based on weighted expected values of the fuzzy numbers which can be applied for both normal and non-normal fuzzy numbers. The weighted expected interval is the nearest interval for the given fuzzy number. Furthermore, the proposed method compared with the existing methods through numerical examples. Ausführliche Beschreibung