Sentence examples for between fuzzy and from inspiring English sources

The hybrid framework uses analysis of variance (ANOVA) and minimum absolute percentage error (MAPE) to select between fuzzy and conventional regressions.

The main difference between fuzzy and neural paradigms is that fuzzy set theory tries to mimic the human reasoning and thought process whereas neural networks attempt to emulate the architecture and information representation scheme of the human brain.

The design procedure consists to optimize the scaling factors of the linear fuzzy controller, by solving an unconstrained optimization problem issued from the simplification of a formulated constrained optimization where the objective function is an integral error measure, and the constraints are the relationships between fuzzy and conventional PID gains.

The final part gives a unique view on mutual relations between fuzzy and rough set theories (rough fuzzy and fuzzy rough sets).

Table 4 Comparative experimental results of the average localization error between fuzzy and non-fuzzy algorithms Localization algorithm Average localization error (m) IT2FLS 0.8 K-nearest neighbor (KNN) 1.1 Lateration 1.9.

In the future, the research will focus on the quantitative calculation between fuzzy and random of the cloud model, and it hopes to give the value range of the problem to be solved according to the specified degree of certainty, which also can be used for other problems with uncertainty.

Finally, we define the dependency between fuzzy decision and condition attributes and employ the dependency to evaluate the significance of a candidate feature, using which a greedy feature subset selection algorithm is designed.

As a result, we need some extensions of mathematical models (e.g., in this contribution, we investigate fractional differential equation) to fuzzy field such that these extensions have natural relationship between crisp and fuzzy cases and even have a natural relation between fuzzy fractional and fuzzy non-fractional cases.

Evolutionary Fuzzy Systems are a successful hybridization between fuzzy systems and Evolutionary Algorithms.

THE difference between fuzzy perceptions and hard science can mean everything to someone who has been falsely accused of a crime.

Then, we use the relationship between fuzzy neighborhood and fuzzy decision to construct a new rough set model: fuzzy neighborhood rough set model.