Fuzzy Sets and Systems
Proceedings of the 2nd International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems on Uncertainty and intelligent systems
Fuzzy control theory: The linear case
Fuzzy Sets and Systems
Membership function as an evaluation
Fuzzy Sets and Systems
Information Sciences: an International Journal
Fuzzy Sets and Systems
Canonical fuzzy numbers of dimension two
Fuzzy Sets and Systems
Why triangular membership functions?
Fuzzy Sets and Systems
A parametric representation of fuzzy numbers and their arithmetic operators
Fuzzy Sets and Systems - Special issue: fuzzy arithmetic
A generalization of the Minkowski embedding theorem and applications
Fuzzy Sets and Systems
Fuzzy n-cell numbers and the differential of fuzzy n-cell number value mappings
Fuzzy Sets and Systems - Fuzzy intervals
On fuzzy n-cell numbers and n-dimension fuzzy vectors
Fuzzy Sets and Systems
The approximation of piecewise linear membership functions and Łukasiewicz operators
Fuzzy Sets and Systems
On the approximation of compact fuzzy sets
Computers & Mathematics with Applications
Evolution computation based learning algorithms of polygonal fuzzy neural networks
International Journal of Intelligent Systems
The learning algorithm for a novel fuzzy neural network
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
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In this paper, we propose a new mathematical formalization of the concept of polygonal fuzzy numbers and an extension of this notion to fuzzy sets on R^n. We study the mathematical structure of these families of fuzzy sets and show that each family is a complete and separable metric space when endowed with the generalized Hausdorff metric. Moreover, we show that for n=1, the families of polygonal fuzzy numbers are isomorphic to some convex and closed convex cone of a finite dimensional space. We obtain generalizations and extensions of some previous results on polygonal fuzzy numbers and simplified proofs of some well-known results about approximation of fuzzy n-dimensional quantities. Finally, some developments about the approximation of families of fuzzy sets are introduced.