Sentence examples for fuzzy component from inspiring English sources
The automatic transmissions of certain automobiles, for instance, contain a fuzzy component that senses driving style and engine load so as to select the best gear.
The presence of the grey component, GFM, enables it to make accurate forecasts in the presence of limited and incomplete data, the fuzzy component of the model functions to eliminate the problem of vagueness and uncertainty in data (Chen and Hsu 2004; Kher and Yerpude 2015), while the Markov component deals with problems concerning fluctuating and random occurrences (Geng et al. 2015).
Basically, the proposed hybrid control structure combines a fuzzy logic controller, with a pure integral action, both fully decoupled, improving the performances of the process with a reasonable design cost, since the system nonlinearities are fully compensated by the fuzzy component of the controller, while the integral action contributes to eliminate the steady-state error.
The fuzzy components described are extensible and adjustable.
The paper also suggests some steps towards future design of fuzzy components and tools for intelligent systems.
According to fuzzy components considered, a fuzzy optimization approach is adopted to convert the proposed fuzzy multi-objective mixed-integer linear program into an equivalent auxiliary crisp model to obtain the relevant solutions.
This module evaluates the fuzzy content of candidate regions, and through an effective fitness function design provides objects with optimal balance between three fuzzy components: coverage, consistency and smoothness.
Systems with neuro-fuzzy components may be found in fields such as stock market prediction, intelligent information systems, and data mining (see database).
A fuzzy learning component is an important learning tool in the protocol, and combined time-domain and iteration-domain adaptive laws are used to tune the controller parameters.
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.
In many cases, it is difficult to be sure whether these entries do reflect the same individual, and we did not add a fuzzy matching component to our routine pipeline, although for some applications this will prove helpful, with or without a manual curation step.
