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A filtered fuzzy relation algorithm which utilizes the fuzzy set theory is developed to analyze the qualitative data methodologically.
To tackle this kind of issue, this paper proposes a framework which utilizes the fuzzy set theory to elucidate the linguistic information and the analytic hierarchy process(AHP) to address the complicated criteria.
To deal with the vagueness of human being's perceptions, this study utilizes the fuzzy set theory and decision making trial and evaluation laboratory method to form a structural model to find out the cause and effect relationships among criteria.
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Perez-Iratxeta et al. utilized the fuzzy set theory to construct a scoring system for discovering disease-related genes based on literature descriptions of diseases and functional annotations of genes [ 5].
Compute the fuzzy set using (53) and.
The first parameter is the start point of the fuzzy set and the fourth is the end point of the same fuzzy set.
The fuzzy set definitions, whether linear or logarithmic, provide meaning to the linguistic fuzzy sets in the context of particular reactions.
The fuzzy argument compares the data values against a fuzzy set membership function that returns a level of trueness based on the degree of membership in the fuzzy set.
Then, the lowest and the highest determined the fuzzy set range.
Intuitionistic fuzzy sets and hesitant fuzzy sets are the most used extensions in the fuzzy sets history.
Defuzzification of the fuzzy sets is necessary to convert the fuzzy sets into numerical values.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com