The mean value of a fuzzy number
Fuzzy Sets and Systems - Fuzzy Numbers
The expected value of a fuzzy number
Fuzzy Sets and Systems
Metrics and orders in space of fuzzy numbers
Fuzzy Sets and Systems
On a canonical representation of fuzzy numbers
Fuzzy Sets and Systems
A note on trapezoidal approximations of fuzzy numbers
Fuzzy Sets and Systems
Note on “Trapezoidal approximation of fuzzy numbers”
Fuzzy Sets and Systems
Trapezoidal approximations of fuzzy numbers---revisited
Fuzzy Sets and Systems
Trapezoidal and triangular approximations preserving the expected interval
Fuzzy Sets and Systems
Approximation of fuzzy numbers by trapezoidal fuzzy numbers preserving the expected interval
Fuzzy Sets and Systems
Triangular and parametric approximations of fuzzy numbers---inadvertences and corrections
Fuzzy Sets and Systems
On the nearest parametric approximation of a fuzzy number---Revisited
Fuzzy Sets and Systems
Weighted trapezoidal and triangular approximations of fuzzy numbers
Fuzzy Sets and Systems
Weighted semi-trapezoidal approximations of fuzzy numbers
Fuzzy Sets and Systems
Weighted semi-trapezoidal approximations of fuzzy numbers
Fuzzy Sets and Systems
Operations of fuzzy numbers via genuine set
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Approximations of fuzzy numbers by trapezoidal fuzzy numbers preserving the ambiguity and value
Computers & Mathematics with Applications
Trapezoidal approximation and aggregation
Fuzzy Sets and Systems
K-sample tests for equality of variances of random fuzzy sets
Computational Statistics & Data Analysis
Nearest interval, triangular and trapezoidal approximation of a fuzzy number preserving ambiguity
International Journal of Approximate Reasoning
Lipschitz functions and fuzzy number approximations
Fuzzy Sets and Systems
Fuzzy number approximation via shadowed sets
Information Sciences: an International Journal
Hi-index | 0.21 |
Fuzzy number approximation by trapezoidal fuzzy numbers which preserves the expected interval is discussed. Algorithms for calculating the proper approximations are proposed and some properties of the approximation operators are discussed. It is shown that an adequate approximation operator might be chosen through the comparisons of some characteristics of the fuzzy number, like its ambiguity, width, its value and weighted expected value.