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Exact(38)
Liu introduced credibility theory for the first time and presented the concept of credibility measure to facilitate the measurement of fuzzy events [29].
It means that the event whose credibility measure is 1 will definitely occur, and similarly, the event whose credibility measure is 0 will never happen.
Based on five axioms mentioned in [23], a credibility measure is defined.
By the credibility measure of fuzzy event, the expected profit model is presented.
This paper selects the portfolio with fuzzy returns by criteria of chance represented by credibility measure.
Thus, in this paper, we studied the variance of fuzzy variables based upon the credibility measure for better applications.
Similar(22)
A fuzzy possibilistic programming approach is applied to this model, where possibility, necessity and credibility measures are adopted according to the decision makers' preference.
The changes in credibility measures effectively modify the influence of each model in the decision process, so that models that are better predictors gain more influence.
According to the simulations for specific trust, this section combines the measurement results of service reliability, feedback effectiveness and recommendation credibility to measure the trust evolution of the whole network.
Again, treatment credibility was measured using the 0-100 mm VAS with 0 indicating not credible and 100 indicating completely credible.
Treatment credibility was measured using the 0-100 mm VAS with 0 indicating not credible and 100 indicating completely credible, with credibility defined as "how much did you believe in the treatment and think it might work".
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