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Then, the design problem is established using the fuzzy rule set based on designer's expert knowledge with a holistic approach.
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The safety assessments will be obtained using the fuzzy rule-based evidential reasoning (FURBER) approach and the cost assessments are supplied by the experts.
By using the fuzzy rules which can be generated based on some experimental observations, a two-layer fuzzy model could be developed to correlate these variables to the slurry erosion (weight loss of material).
It uses the fuzzy rule-based system to analyze driver's eyes and head motion.
When a body coordinator receives the patient's data then it uses the fuzzy rules to decide whether to assign CAP or CFP slots.
The HAC does not require fuzzy sets to provide the semantics of the linguistic terms used in the fuzzy rule system rather the semantics is obtained through the semantically quantifying mappings (SQMs).
The next step is to evaluate the truth value for the premise of each rule, and then applying the result to the conclusion part of each rule using the fuzzy implication.
This is usually done by using the fuzzy union of all individual rule contributions.
By using the fuzzy Mellin transform and the convolution rule, we have U t)=mathcal{M}^{-1}bigl[tilde{varphi}(s)odottilde{psi } 1-s) bigr](t)= int_{0} 1-sfty}varphi(ttau)odot f(tau), mathrm{d} tau, where (tilde{varphi}(s)=1/tilde{mathcal{kappa}}(1-s)).
The fuzzifier defines the membership functions used in the fuzzy rules.
The fuzzy inference component contains a rule base that holds fuzzy rules: a database that defines the MFs used in the fuzzy rules, normalizes the input and output universes of discourse, and performs the fuzzy partitioning of the input and the output spaces; and a reasoning mechanism that performs the inference process upon the rules and given condition to derive a reasonable output.
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