Simple Fuzzy Testing Hypotheses
碩士 === 國立高雄應用科技大學 === 工業工程與管理系碩士在職專班 === 105 === In fuzzy inference problems, the fuzzy testing hypotheses is the most important one. The adopted methods are acceptance region method proposed by Grzegorzewski (2000) and the rejection region method. Two types of fuzzy random numbers are the same fuzz...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2017
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| Online Access: | http://ndltd.ncl.edu.tw/handle/h79ba5 |
| Summary: | 碩士 === 國立高雄應用科技大學 === 工業工程與管理系碩士在職專班 === 105 === In fuzzy inference problems, the fuzzy testing hypotheses is the most important one. The adopted methods are acceptance region method proposed by Grzegorzewski (2000) and the rejection region method. Two types of fuzzy random numbers are the same fuzzy random numbers and the mixed fuzzy random numbers. We consider the trapezoidal fuzzy numbers, the normal fuzzy number for the same fuzzy random numbers, and the mixed of the trapezoidal fuzzy numbers and normal fuzzy numbers for the mixed fuzzy random numbers. The mean of the mixed of the trapezoidal fuzzy numbers and normal fuzzy numbers is approximated by the normal fuzzy number. The distribution functions of the fuzzy number adopted are normal distribution, constant distribution and polynomial distribution. We present some examples to compare the results of the different combinations of the fuzzy testing hypotheses considered in this paper. These results provide insights into the fuzzy testing hypotheses.
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