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We propose a ranking method for fuzzy numbers.
Cheng and Mon (1993) presented a method for fuzzy system reliability analysis by interval of confidence.
Chen (1994) presented a method for fuzzy system reliability analysis using fuzzy number arithmetic operations.
Also, we have applied this method for fuzzy implications in [3].
Thus, non-fuzzy ranking method for fuzzy numbers needs to be employed for each criterion.
Vincent and Luu in [22] proposed improve their ranking method for fuzzy numbers with integral values.
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Many ranking methods for fuzzy numbers have been proposed so far.
There are many methods for fuzzy clustering [34, 35], and FCM clustering is adopted in this paper.
Comparing result with traditional Monte Carlo simulation and parameter perturbation method, two numerical examples evidence the remarkable accuracy and effectiveness of proposed methods for fuzzy temperature field prediction in engineering.
Based on the combination of collocation technology and fuzzy theory, this paper proposes a full grid fuzzy collocation method (FGFCM) and a sparse grid fuzzy collocation method (SGFCM) for fuzzy uncertainty propagation in heat conduction problem.
The fuzzy Laplace transforms method for solving fuzzy fractional differential equations was proposed by Salahshour et al. in [18].
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