A New Method for Comparing ‎Fuzzy‎ Quantities Based on Scaler ‎Value and Middle-Point of Fuzzy ‎Numbers

Saneifard, Rahim; Saneifard, Rasoul

Manuscript ID : 10180 Visit : 140 Page: 99 - 104

Article Type: Original Research

A New Method for Comparing ‎Fuzzy‎ Quantities Based on Scaler ‎Value and Middle-Point of Fuzzy ‎Numbers

Subject Areas : International Journal of Industrial Mathematics

1 - Department of Applied Mathematics, Urmia Branch, Islamic Azad University, Urmia, Iran.
2 - Department of Engineering Technology, Texas Southern University, Houston, Texas, USA.

Received: 2017-04-04 Accepted : 2017-04-04 Published : 2017-04-01

Keywords: Ranking, Fuzzy number, Defuzzification, Signal/noise &amp, lrm, ratios,

Abstract :

References:

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Extended ‎A‎artificial Neural Networks Approach and Fractional Volterra ‎I‎ntegro-Differential Equation‎s
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Solving ‎S‎econd-Order Fuzzy Cauchy-Euler Initial Value Problems Under Generalized ‎Differentiability
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A New Method for Comparing ‎Fuzzy‎ Quantities Based on Scaler ‎Value and Middle-Point of Fuzzy ‎Numbers