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We present an approach for controlling context-aware applications in the case of multiple fuzzy contexts.
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DESCA adopts symbiotic evolution to decompose a fuzzy system into multiple fuzzy rules as multiple subpopulations.
First, a traditional De-Novo programming problem is modified to a De-Novo programming problem with multiple fuzzy goals, fuzzy constraints and multiple stages.
Multiple fuzzy partition technique also helps us avoid the high computational cost of adjusting fuzzy membership functions like some previously built fuzzy models.
A possible solution –and area for future research building on the psychological "fuzzy trace theory" [ 30]-would be to employ a fuzzy logic model to assess the values of γ (and threshold) as a function of multiple fuzzy inputs [ 69].
In [ 83], the authors proposed a prognostic predictor of breast cancer with multiple fuzzy neural models using the same dataset.
We simultaneously generated 14 fuzzy sets from multiple fuzzy partitions, as shown in Figure 1; "S", "MS", "M", "ML" and "L" denote Small, Medium Small (relatively small), Medium, Medium Large (relatively large) and Large, respectively.
However, such MPFC-mediated processes might also be engaged during nonsocial inferences that likewise require the consideration of multiple, "fuzzy" alternatives based on internally generated simulations.
The fuzzy context integrates both Fuzzy Clustering and Fuzzy Cognitive Maps.
Also, we propose new fuzzy DEA models that evaluate a DMU from the pessimistic perspective in a fuzzy context.
This proves that the Hadamard inequality (2) is not satisfied in the fuzzy context.
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