چکیده مقاله
In this paper, a new method is proposed for developing Kolmogorov Smirnov one sample and two samples tests for the case when the data are observations of fuzzy random variables, and the hypotheses are imprecise rather than crisp
کلیدواژهها
Fuzzy p-value fuzzy random variable Credibility degree Kolmogorov Smirnov test K S test Fuzzy p value Fuzzy empirical cumulative distribution function
نویسندگان
Vahid Ranjbar
Department of Statistics, Faculty of Sciences, University of Golestan, Gorgan, ۴۹۱۳۸ ۱۵۷۳۹, Iran
Zahra Radmehr
Department of Statistics, Faculty of Sciences, University of Golestan, Gorgan, ۴۹۱۳۸ ۱۵۷۳۹, Iran
Kamel Abdollahnezhad
Department of Statistics, Faculty of Sciences, University of Golestan, Gorgan, ۴۹۱۳۸ ۱۵۷۳۹, Iran
شیوه ارجاع
Ranjbar, Vahid and Radmehr, Zahra and Abdollahnezhad, Kamel,1394,Kolmogorov-Smirnov fuzzy test for fuzzy random variables,1st National Conference on Soft Computing,Rasht
ارائهشده در
مجموعه مقالات نخستین کنفرانس ملی محاسبات نرم27 آبان 1394 · رشت