Value approximation of fuzzy systems variables
Fuzzy Sets and Systems
Fuzzy sets in approximate reasoning, part 1: inference with possibility distributions
Fuzzy Sets and Systems - Special memorial volume on foundations of fuzzy reasoning
An introduction to fuzzy control
An introduction to fuzzy control
A note on the value similarity of fuzzy systems variables
Fuzzy Sets and Systems
A course in fuzzy systems and control
A course in fuzzy systems and control
On the logic foundation of fuzzy reasoning
Information Sciences: an International Journal
Fuzzy Reasoning in Decision Making and Optimization
Fuzzy Reasoning in Decision Making and Optimization
An approach to measure the robustness of fuzzy reasoning: Research Articles
International Journal of Intelligent Systems
Robustness of fuzzy reasoning and δ-equalities of fuzzy sets
IEEE Transactions on Fuzzy Systems
Error Estimation of Perturbations Under CRI
IEEE Transactions on Fuzzy Systems
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Since the introduction of fuzzy sets theory, fuzzy method made successful applications in many areas, such as fuzzy control and intelligent decision systems. In these areas, there are usually random perturbations caused by the constantly changing of real situations, thus the analysis of the stability and robustness is an important issue for the applications. In the side of fuzzy methods, we have a corresponding problem: will a small random perturbation of input cause a big oscillation of output of a fuzzy method? In particular, when the distributions of random perturbations are given, what is the propagation of random perturbations in fuzzy schemes? In this paper, we start to answer the question. We estimate the expectation of the propagated perturbations under different fuzzy algebraic operators with two analysis methods. Some examples are presented to show the effectiveness and features of the analysis methods.