Sentence examples for measure of fuzzy from inspiring English sources

By the credibility measure of fuzzy event, the expected profit model is presented.

Finally the uncertainties of the culture sets are quantified by the measure of fuzzy entropy.

The expected value and the chance measure of fuzzy random variable are introduced for modeling the problem under different decision-making criteria.

[4] The measure K and the measure of fuzzy similarity of two fuzzy sets as points in the unit hypercube (F Sim (A, B)) are derived from fuzzy subsethood and the primary measure space of fuzzy theory fuzzy cardinality.

Subsequently, several authors have discussed various aspects of the theory and applications of fuzzy sets such as fuzzy topological spaces, similarity relations and fuzzy ordering, fuzzy measures of fuzzy events, and fuzzy mathematical programming.

The concepts of fuzzy sets and fuzzy set operations were first introduced by Zadeh [1] and subsequently several authors have discussed various aspects of the theory and applications of fuzzy sets such as fuzzy topological spaces, similarity relations and fuzzy orderings, fuzzy measures of fuzzy events, fuzzy mathematical programming.

The concepts of fuzzy sets and fuzzy set operation were first introduced by Zadeh [1] and subsequently several authors have discussed various aspects of the theory and applications of fuzzy sets such as fuzzy topological spaces similarity relations and fuzzy orderings, fuzzy measures of fuzzy events and fuzzy mathematical programming.

The sets as points unit hypercube geometry allows fuzzy subsethood to define in measures of fuzzy cardinality different conditions, similarity and comparison between fuzzy sets.

Fuzzy entropy is defined as a quantity measure of the fuzzy information gained from a fuzzy set or fuzzy system [17].

Liu introduced credibility theory for the first time and presented the concept of credibility measure to facilitate the measurement of fuzzy events [29].

In this study, we consider structural uncertainty as uncertainty associated with assumptions of model structure, including distance between states, time assumption for similarity measure, assumptions of fuzzy ID3, and distance between states and centroid for changes percentage.