Metrics and orders in space of fuzzy numbers
Fuzzy Sets and Systems
On a canonical representation of fuzzy numbers
Fuzzy Sets and Systems
Nearest interval approximation of a fuzzy number
Fuzzy Sets and Systems - Fuzzy intervals
A note on trapezoidal approximations of fuzzy numbers
Fuzzy Sets and Systems
On improving trapezoidal and triangular approximations of fuzzy numbers
International Journal of Approximate Reasoning
Trapezoidal and triangular approximations preserving the expected interval
Fuzzy Sets and Systems
On the nearest parametric approximation of a fuzzy number
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
Weighted trapezoidal approximation-preserving cores of a fuzzy number
Computers & Mathematics with Applications
Weighted semi-trapezoidal approximations of fuzzy numbers
Fuzzy Sets and Systems
Weighted semi-trapezoidal approximations of fuzzy numbers
Fuzzy Sets and Systems
Approximations of fuzzy numbers by trapezoidal fuzzy numbers preserving the ambiguity and value
Computers & Mathematics with Applications
Metric properties of the nearest extended parametric fuzzy number and applications
International Journal of Approximate Reasoning
Trapezoidal approximation and aggregation
Fuzzy Sets and Systems
Discontinuity of the trapezoidal fuzzy number-valued operators preserving core
Computers & Mathematics with Applications
Expert Systems with Applications: An International Journal
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
Hi-index | 0.21 |
The problem of finding the nearest parametric approximation of a fuzzy number with respect to the average Euclidean distance is completely solved. Properties of translation invariance, scale invariance, additivity, preservation of expected value, value and ambiguity of this new approximation operator are studied and an algorithm for computing it is provided.