발간년도 : [2022]
| 논문정보 |
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| 논문명(한글) |
[Vol.17, No.5] Reliability Analysis of the Fuzzy Engineering Systems Using Polygonal Interval Type-2 Fuzzy Sets |
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| 논문투고자 |
Sang Yeop Cho |
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| 논문내용 |
In the case of operating the engineering systems, the low reliable output of the systems may produced due to users error, input error, uncertainty of input data, etc. The way to overcome these problem is that the reliability of the entire engineering systems is reflected in the output by reflecting the reliability of the components of the systems. In this paper, in order to analyze the reliability of the engineering systems, we use the fuzzy set theory for calculating the reliability. The fuzzy sets have various types of sets such as the conventional fuzzy sets that represents the degree of membership as a real number, the intuitive fuzzy sets that expresses the degree of membership as an interval, the level (λ,1) interval valued fuzzy set that describe the upper bound of interval is fixed at 1 and the lower bound represent λ, the neutrosophic sets that can express the indeterminacy, the polygonal type-1 fuzzy sets that can describe various shape of conventional fuzzy sets, the type-2 fuzzy sets that represent the membership degree of conventional fuzzy sets as the membership function. In this study, we propose a method to analysis the reliability of engineering systems using polygonal interval type-2 fuzzy sets. In the interval type-2 fuzzy sets, secondary grades are all equal to 1. In the polygon interval type-2 fuzzy sets, the lower membership function and the upper membership function are expressed as polygons. Therefore, it becomes possible to represent fuzzy sets of more various shapes than the conventional fuzzy sets. |
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