Solving fuzzy equations: a new solution concept
Fuzzy Sets and Systems
Fuzzy linear systems of the form A1x+b1=A2x+b2
Fuzzy Sets and Systems
A decomposition of fuzzy relations
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
The extension principle and a decomposition of fuzzy sets
Information Sciences: an International Journal
An approximation to the extension principle using decomposition of fuzzy intervals
Fuzzy Sets and Systems
Development of fuzzy and control charts using α-cuts
Information Sciences: an International Journal
Perturbation analysis of fuzzy linear systems
Information Sciences: an International Journal
Resolution of a system of fuzzy polynomial equations using the Gröbner basis
Information Sciences: an International Journal
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This paper presents a proposal for decomposing large uncertainties associated with fuzzy numbers, which can be useful for solving non-linear fuzzy problems with crisp coefficients. The proposed procedure is based on a property of incremental fuzzy numbers and improves the quality of solution of the linearization process. The methodology is illustrated by some numeric studies.