발간년도 : [2017]
| 논문정보 |
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| 논문명(한글) |
[Vol.12, No.2] Reliability Analysis of Systems Using Single Valued Neutrosophic Multisets |
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| 논문투고자 |
Sang Yeop Cho |
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| 논문내용 |
Neurotrophic sets are representation of indeterminacy that is difficult to express in classical sets, fuzzy sets, interval valued fuzzy sets, intuitionistic fuzzy sets, interval intuitionistic fuzzy sets, and so on. Neurotrophic sets are defined on the real standard and nonstandard subsets of ]0-,1+[. For this reason, it is difficult for the neurotrophic sets to actually apply in real science and engineering area. Therefore, many researchers have proposed subclasses of neurotrophic sets that can solve real world problems. These neurotrophic sets include single valued neurotrophic sets, interval valued neurotrophic sets, simplified neurotrophic sets, and single valued neutrosophic multisets. In this paper, we propose a method for evaluating the reliability of systems using single valued neurotropihc multisets. Single valued neurotrophic multisets are class of neurotrophic sets representing single valued neurotrophic sets and multisets concept together to provide a way to handle multiple sets of indeterminacy. This method can be applied to evaluate the reliability of systems having membership values represented by a single-value neurotropihc multiple set that is difficult to express in single valued neurotrophic sets, interval valued neurotropihc sets, and simplified neurotrophic sets. |
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