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 : 110 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:

Po-S-Dense Monomorphism
Print Date : 2018-01-01
A Numerical Method for Solving Fuzzy Differential Equations With Fractional Order
Print Date : 2019-04-01
Availability Optimization of a system With k-out-of-n Sub-systems Considering Different Types of Components Failure Using BBQ Algorithm
Print Date : 2019-12-01
Sustainability assessment in concrete industry supply chain in stochastic environment
Print Date : 2024-09-02
Extended ‎A‎artificial Neural Networks Approach and Fractional Volterra ‎I‎ntegro-Differential Equation‎s
Print Date : 2023-10-01
Solving ‎S‎econd-Order Fuzzy Cauchy-Euler Initial Value Problems Under Generalized ‎Differentiability
Print Date : 2022-01-01

Share To

Article Url

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