On Statistical Hypothesis Testing Based on Interval Type-2 Hexagonal Fuzzy Numbers Ganesh A. Hari1, Jaimaruthi N.2 1Department of Mathematics, Poompuhar College (Autonomous), Melaiyur-609 107, Nagapattinam (Dt), Tamilnadu, India. Email: ahariganesh84@gmail.com 2Department of Mathematics, Annai Vailankanni Arts and Science College, Thanjavur-613 007, Tamilnadu, India. Email: jaimathes83@gmail.com AMS Mathematics Subject Classification (2010): 62F03 Online published on 7 February, 2019. Abstract The classical procedures for testing hypotheses are not appropriate for dealing with imprecise data. After the inception of the notion of fuzzy set theory, there have been attempts to analyze the problem of testing hypothesis for dealing with such imprecise data. In this paper, we consider the fuzzy data instead of crisp ones, and introduce a procedure for testing of hypothesis for imprecise data based on interval type-2 generalized hexagonal fuzzy numbers. Top Keywords Testing of hypothesis, interval type-2 generalized hexagonal fuzzy number. Top |