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East Asian Mathematical Journal
Article . 2013 . Peer-reviewed
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NORMAL FUZZY PROBABILITY FOR TRAPEZOIDAL FUZZY SETS

Authors: Changil Kim; Yong Sik Yun;

NORMAL FUZZY PROBABILITY FOR TRAPEZOIDAL FUZZY SETS

Abstract

Abstract. A fuzzy set A de ned on a probability space (;F;P) is calleda fuzzy event. Zadeh de nes the probability of the fuzzy event A usingthe probability P. We de ne the normal fuzzy probability on R usingthe normal distribution. We calculate the normal fuzzy probability forgeneralized trapezoidal fuzzy sets and give some examples. 1. IntroductionFour operations are based on the Zadeh’s extension principle([6]). Zadehde nes the probability of fuzzy event as follows.Let (;F;P) be a probability space, where denotes the sample space, Fthe ˙ algebra on , and Pa probability measure. A fuzzy set Aon is calleda fuzzy event. Let  A () be the membership function of the fuzzy event A.Then the probability of the fuzzy event Ais de ned by Zadeh([7]) asPe(A) =Z A (!) dP(!);  A (!) : ![0;1]:We de ned the normal fuzzy probability using the normal distribution andcalculated the normal fuzzy probability for quadratic fuzzy number([1]). Thenwe had the explicit formula for the normal fuzzy probability for trigonometricfuzzy number. Furthermore we calculated the normal fuzzy probability fortrigonometric fuzzy numbers driven by the above four operations([2]). Wede ne the generalized trapezoidal fuzzy set and calculate four operations oftwo generalized trapezoidal fuzzy sets([3]).In section 3, we correct the errors in the results for the normal fuzzy prob-ability for generalized triangular fuzzy sets([4]). In section 4, we calculate thenormal fuzzy probability for generalized trapezoidal fuzzy sets and give someexamples.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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