On Statistical Hypothesis Testing Based on Interval Type-2 Hexagonal Fuzzy Numbers

A. H. Ganes, N. Jaimaruthi
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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.
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基于区间型2六边形模糊数的统计假设检验
检验假设的经典方法不适用于处理不精确的数据。在模糊集合理论的概念出现之后,人们试图分析检验假设的问题,以处理这类不精确的数据。本文考虑模糊数据而不是清晰数据,并介绍了一种基于区间型-2广义六边形模糊数的不精确数据假设检验方法。
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