Title of article :
A new similarity measure between type-2 fuzzy numbers and fuzzy risk analysis
Author/Authors :
A. Anbalagan، A. Anbalagan نويسنده National Institute of Technology, Puducherry, Karaikkal, India A. Anbalagan, A. Anbalagan , D. Stephen Dinagar، D. Stephen Dinagar نويسنده P. G. and Research Department of Mathematics, TBML College, Porayar, India D. Stephen Dinagar, D. Stephen Dinagar
Issue Information :
فصلنامه با شماره پیاپی 0 سال 2013
Abstract :
In this paper, we present a revised similarity measure based on
Chen-and-Chenʹs similarity measure for fuzzy risk analysis. The revised
similarity measure uses the corrected formulae to calculate the centre of
gravity points, therefore it is more effective than the Chen-and-Chenʹs
method. The revised similarity measure can overcome the drawbacks of the
existing methods. We have also proposed a new similarity measure between type-2
fuzzy numbers and a method for handling fuzzy risk analysis problem.
Journal title :
Iranian Journal of Fuzzy Systems (IJFS)
Journal title :
Iranian Journal of Fuzzy Systems (IJFS)
