Question
Two sensors based upon their detection levels and gain settings are compared. The following table of gain settings and sensor detection levels with a standard item being monitored provides typical membership values to represent the detection levels for each of the sensors.
| Gain Setting | Sensor 1 detection levels | Sensor 2 detection levels |
| 0 | 0 | 0 |
| 20 | 0.5 | 0.35 |
| 40 | 0.65 | 0.5 |
| 60 | 0.85 | 0.75 |
| 80 | 1 | 0.90 |
| 100 | 1 | 1 |
The universe of discourse is x = {0, 20 , 40 , 60 , 80 , 100 } . Find the membership function for the two sensors. Also, verify De-morgon’s laws for these membership functions.
Answer :
Word Count : 297
We will solve this problem numerically in two parts: ### 1. Finding Membership Functions The given table represents discrete fuzzy membership values for Sensor 1 (\(\mu_{S1}(x)\)) and Sensor 2 (\(\mu_{S2}(x)\)). The membership functions are: \[ \mu_{S1}(x) = \begin{cases} 0, & x = 0 \\ 0.5, & x = 20 \\ 0.65, & x = 40 \\ 0.85, & x = 60 \\ 1, & x = 80 \\ 1, & x = 100 \end{cases} _____ ____ __________ _______ _______ ___ __________ _________.
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We will solve this problem numerically in two parts: ### 1. Finding Membership Functions The given table represents discrete fuzzy membership values for Sensor 1 (\(\mu_{S1}(x)\)) and Sensor 2 (\(\mu_{S2}(x)\)). The membership functions are: \[ \mu_{S1}(x) = \begin{cases} 0, & x = 0 \\ 0.5, & x = 20 \\ 0.65, & x = 40 \\ 0.85, & x = 60 \\ 1, & x = 80 \\ 1, & x = 100 \end{cases} _____ ____ __________ _______ _______ ___ __________ _________.
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