@article{ART002277469},
author={Cho, Sang Yeop},
title={Reliability Analysis of Systems Using Level (λ, ρ) Intuitioninstic Fuzzy Sets},
journal={Journal of Knowledge Information Technology and Systems},
issn={1975-7700},
year={2017},
volume={12},
number={5},
pages={705-711},
doi={10.34163/jkits.2017.12.5.011}
TY - JOUR
AU - Cho, Sang Yeop
TI - Reliability Analysis of Systems Using Level (λ, ρ) Intuitioninstic Fuzzy Sets
JO - Journal of Knowledge Information Technology and Systems
PY - 2017
VL - 12
IS - 5
PB - Korea Knowledge Information Technology Society
SP - 705
EP - 711
SN - 1975-7700
AB - In this paper we propose a method to evaluate the reliability of systems using the level intuitionistic fuzzy sets. There are various studies using fuzzy sets, interval-valued fuzzy sets, L-R fuzzy numbers, level λ triangular fuzzy sets, level interval-valued fuzzy numbers, and intuitionistic fuzzy sets as methods to provide the theoretical basis of the analysis method for system reliability. The fuzzy sets represnt the degree of membership as a real number between zero and one. In the interval-valued fuzzy sets, the degree of membership represent the interval. Therefore, it is possible to solve the problem that the degree of membership for the fuzzy sets is uncertain. The L-R fuzzy numbers can be adjusted differently to the left-right slope of the membership functions. Therefore, we can represent more various fuzzy numbers. Level λ triangular fuzzy sets can adjust the magnitude of the degree of membership using λ. If λ = 1, it becomes level λ fuzzy numbers. In the level interval-valued fuzzy numbers it is possible to adjust the magnitude of the minimum degree of membership by using λ. The intuitionistic fuzzy sets can represent beliefs using a truth-membership function supporting evidence and a falsity-membership function contrary to evidence. In the level intuitionistic fuzzy sets used in this paper, it is possible to adjust the minimum degree of membership value of the falsity-membership function and the maximum degree of the truth-membership function by using λ and ρ, respectively. Therefore, it becomes possible to express various intuitive fuzzy sets.
KW - Reliability analysis;Level (λ;ρ);Level (λ;ρ) interval-valued sets;Intuitioninstic fuzzy sets;Level (λ;ρ) intuitioninstic fuzzy sets
DO - 10.34163/jkits.2017.12.5.011
ER -
Cho, Sang Yeop. (2017). Reliability Analysis of Systems Using Level (λ, ρ) Intuitioninstic Fuzzy Sets. Journal of Knowledge Information Technology and Systems, 12(5), 705-711.
Cho, Sang Yeop. 2017, "Reliability Analysis of Systems Using Level (λ, ρ) Intuitioninstic Fuzzy Sets", Journal of Knowledge Information Technology and Systems, vol.12, no.5 pp.705-711. Available from: doi:10.34163/jkits.2017.12.5.011
Cho, Sang Yeop "Reliability Analysis of Systems Using Level (λ, ρ) Intuitioninstic Fuzzy Sets" Journal of Knowledge Information Technology and Systems 12.5 pp.705-711 (2017) : 705.
Cho, Sang Yeop. Reliability Analysis of Systems Using Level (λ, ρ) Intuitioninstic Fuzzy Sets. 2017; 12(5), 705-711. Available from: doi:10.34163/jkits.2017.12.5.011
Cho, Sang Yeop. "Reliability Analysis of Systems Using Level (λ, ρ) Intuitioninstic Fuzzy Sets" Journal of Knowledge Information Technology and Systems 12, no.5 (2017) : 705-711.doi: 10.34163/jkits.2017.12.5.011
Cho, Sang Yeop. Reliability Analysis of Systems Using Level (λ, ρ) Intuitioninstic Fuzzy Sets. Journal of Knowledge Information Technology and Systems, 12(5), 705-711. doi: 10.34163/jkits.2017.12.5.011
Cho, Sang Yeop. Reliability Analysis of Systems Using Level (λ, ρ) Intuitioninstic Fuzzy Sets. Journal of Knowledge Information Technology and Systems. 2017; 12(5) 705-711. doi: 10.34163/jkits.2017.12.5.011
Cho, Sang Yeop. Reliability Analysis of Systems Using Level (λ, ρ) Intuitioninstic Fuzzy Sets. 2017; 12(5), 705-711. Available from: doi:10.34163/jkits.2017.12.5.011
Cho, Sang Yeop. "Reliability Analysis of Systems Using Level (λ, ρ) Intuitioninstic Fuzzy Sets" Journal of Knowledge Information Technology and Systems 12, no.5 (2017) : 705-711.doi: 10.34163/jkits.2017.12.5.011
