A Fuzzy Approach To The Test Of Hypothesis Using Pentagonal Fuzzy Number

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K.S. Keerthika , S. Parthiban

Abstract

Testing and deciding on hypotheses is a general and meaningful final part in all areas. Getting better results by testing statistical hypotheses is crucial in almost any sector such as industry, education, elections, transport etc. However, accurate sample observations are not always possible when the job is a real-time population. In practice, the observed models may not be correct. In the proposed work, imprecise rainfall data was collected in southern and northern India and the relevant samples were observed as fuzzy numbers. More generally compared to Pentagonal Fuzzy Numbers (PnFN). In addition, fuzzy numbers are eliminated by clear classification via the pivot points of PnFN. After the fuzzy process, when testing the hypotheses, a relevant statistical method was used to make a better decision.

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