From: Intuitionistic fuzzy-based model for failure detection
Product components | Severity | Occurrence | Detection |
---|---|---|---|
PM1 | (0.337, 0.543) | (0.566, 0.290) | (0.386, 0.516) |
PM2 | (0.380, 0.514) | (0.467, 0.467) | (0.418, 0.495) |
PM3 | (0.421, 0.490) | (0.645, 0.204) | (0.124, 0.739) |
PM4 | (0.519, 0.383) | (0.472, 0.464) | (0.373, 0.519) |
PM5 | (0.329, 0.548) | (0.540, 0.344) | (0.244, 0.636) |
PM6 | (0.235, 0.626) | (0.540, 0.344) | (0.277, 0.598) |
PM7 | (0.129, 0.733) | (0.623, 0.218) | (0.148, 0.715) |
PM8 | (0.171, 0.678) | (1.000, 0.000) | (0.240, 0.629) |
PM9 | (0.472, 0.464) | (0.495, 0.413) | (0.161, 0.696) |
PM10 | (0.579, 0.268) | (0.556, 0.312) | (0.519, 0.383) |
PM11 | (0.279, 0.587) | (0.553, 0.335) | (0.337, 0.543) |
PM12 | (0.400, 0.500) | (0.606, 0.256) | (0.358, 0.528) |
PM13 | (0.287, 0.582) | (0.636, 0.208) | (0.532, 0.377) |
PM14 | (0.306, 0.563) | (0.524, 0.371) | (0.232, 0.635) |
PM15 | (0.421, 0.490) | (0.522, 0.400) | (0.051, 0.822) |
PM16 | (0.376, 0.520) | (0.447, 0.477) | (0.358, 0.528) |