Sentence examples for Highly fuzzy from inspiring English sources

The phrase "Highly fuzzy" is correct and usable in written English.
It can be used to describe something that is very unclear, vague, or indistinct, often in contexts related to concepts, ideas, or images. Example: "The instructions were highly fuzzy, leaving us unsure of how to proceed with the project."

Exact(1)

In Mediterranean extensively used areas, the analysis of landscape features and related public preferences is complex, as the landscape pattern is highly fuzzy and land cover classes are often mixed.

Similar(57)

This structure learning not only helps determine the number of rules automatically, but also avoids the generation of highly similar fuzzy sets on each input variable.

The proposed OSAC algorithm not only helps generate rules from on-line training data, but also helps avoid generating highly overlapping fuzzy sets.

In this paper, a highly nonlinear, fuzzy logic based, composite scheme is proposed by combining a pre-processing and a post-processing operation to efficiently restore high frequency (HF) and very high frequency (VHF) details in an up-scaled image.

Although responses are individual and highly subjective, Fuzzy Quality Function Deployment (FQFD) may provide a competitive advantage to those who are able to read and interpret customers' responses and needs in terms of hospitality services.

Fuzzy logic highly depends on the fuzzy inference rules which may be tuned manually, and settings can be made by trial and errors.

Highly over-lapping fuzzy labels in the input output spaces are merged to reduce the computational complexity and improve the overall interpretability of the system.

Likewise, we defined busy vertices and free vertices in interval valued intuitionistic (S,T fuzzy graphs and studied their images under an isomorphism, which are highly important in fuzzy social networks.

One cannot ignore site overlapping if the motifs are fuzzy (highly degenerate), which is often the case for so-called "shadow sites" [ 31].

This paper proposes a novel approach for the development of highly accurate and interpretable fuzzy models with Gaussian fuzzy sets, under the framework of multidimensional scaling and non-linear constrained optimization.

In fact, the borders are fuzzy and highly subjective.

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