Title of article :
A New Method for Comparing Fuzzy Quantities Based on Scaler Value and Middle-Point of Fuzzy Numbers
Author/Authors :
Mohammadi B. نويسنده Department of Mathematics, Marand Branch, Islamic Azad University, Marand, Iran. , Alizadeh E. نويسنده Department of Mathematics, Marand Branch, Islamic Azad University, Marand, Iran.
Pages :
6
From page :
99
Abstract :
The importance as well as the difficulty of the problem of ranking fuzzy numbers is pointed out. Here we consider approaches to the ranking of fuzzy numbers based upon the idea of associating with a fuzzy number a scalar value, its signal/noise ratios, where the signal and the noise are defined as the middle-point and the spread of each ?-cut of a fuzzy number, respectively. We use the value of a as the weight of the signal/noise ratio of each ?-cut of a fuzzy number to calculate the ranking index of each fuzzy number. The proposed method can rank any kinds of fuzzy numbers with different kinds of membership functions.
Journal title :
Astroparticle Physics
Serial Year :
2017
Record number :
2410075
Link To Document :
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