Kolmogorov-Smirnov fuzzy test for fuzzy random variables
Publish place: 1st National Conference on Soft Computing
Publish Year: 1394
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
CSCG01_176
تاریخ نمایه سازی: 29 مهر 1396
Abstract:
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.
Keywords:
Kolmogorov-Smirnov test (K-S test) , Fuzzy p-value , Fuzzy (empirical) cumulative distribution function , fuzzy random variable , Credibility degree
Authors
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.