Sentence examples for fuzzy representations from inspiring English sources

In the second study, the technique of fuzzy representations was employed to inductively explore questionnaire data.

Expert knowledge that is descriptive, multi-attribute, or subjective in nature can be effectively quantified using fuzzy representations.

To do this, association rules mining and fuzzy representations are used to analyze a large student questionnaire dataset (N = 8817).

Two examples of use of data mining techniques, namely, association rules mining and fuzzy representations are presented, from a study conducted in Europe and another in Australia.

This set will be fuzzified, resulting in joint, fuzzy representation of the merged patterns.

To carry out the T-S CMAC design, we rewrite the WECS model as a T-S fuzzy representation.

This model can handle a complex MCDM problem with a hierarchical structure and use a fuzzy representation for comparative linguistic expressions based on a fuzzy envelope for HFLTS.

In this paper we propose the fuzzy representation of linguistic preferences for the AHP, and examine its generalization by means of the fuzzy-linguistic AHP algorithm.

After a classification of factors that influence tolerance has been made, some key attributes for collecting knowledge cases are studied through fuzzy representation and processing.

A MAUT model captures decisions related to design preferences, whereas a fuzzy representation is proposed to model relationships between system parameters and the fulfillment of system assessment criteria.

The method allows the inclusion of a fuzzy representation of uncertainty relative to the information used through the decision making process.