A note on the extension principle for fuzzy sets

A model for the "Fuzzy TOPSIS" based on Zadde's extension principle

The TOPSIS process is one of the most comprehensive systems designed for decision making with multiple criteria, since this technique enables formulation of the problem as decision matrix, as well as the possibility of considering different quantitative and qualitative criteria in the problem. Fuzzy TOPSIS methods have been introduced to make fundamental decisions that make decisions decisions ...

Decomposition of Fuzzy Sets and Multilinearization for the Extension Principle

In this article we present a proposal for the descomposition of large uncertainties associated with a fuzzy set u and the multilinearization of a function f to be used in the approximation of the fuzzy set f̂(u) obtained by extension principle. Also, we present conditions on f assuring that f̂ preserves differentiability.

A note on Zadeh's extension principle

For a mapping, fuzzy sets obtained by Zadeh's extension principle are images of other fuzzy sets on the domain of the mapping under the mapping. Some relationships between images of level sets of one or two fuzzy sets under a mapping and another fuzzy set obtained from the one or two fuzzy sets by Zadeh's extension principle are known. In the present paper, the known results are extended to mor...

Fuzzy tonnage-average grade model based on extension principle

Due to the nature of the geological and mining activities, different input parameters in the grade estimation and mineral resource evaluation are always tainted with uncertainties. It is possible to investigate the uncertainties related to the measurements and parameters of the variogram model using the fuzzy kriging method instead of the kriging method. The fuzzy kriging theory has already bee...

Multivariate Extension Principle and Algebraic Operations of Intuitionistic Fuzzy Sets