International Journal of Fuzzy Logic Systems (IJFLS) Vol.3, No2, April 2013
Figure 4. Relationship of Parameters
In the above relationship shown, more than one input value had a variation. Still, it can be readily seen from the surface view diagram in Figure 4 that all the input factors should have high confidence values for getting a good output confidence value. To see the effect of individual variations in input values on the output value, each input value was varied, one by one, to 75%, 50%, 25% and 0% from its maximum value of 1. Here, exact values were not taken and intentionally values close to particular percentage values were taken to emphasise the fuzziness of input parameters. Table 2 shows the input values taken. Varied values of inputs have been shown bold and underlined. Output values were determined using the fuzzy tool box of Matlab 5.3. Value of Input 1 0.958 0.741 0.500 0.253 0.030 0.958 0.958 0.958 0.958 0.958 0.958 0.958 0.958 0.958 0.958
Value of Input 2 0.982 0.982 0.982 0.982 0.982 0.982 0.747 0.506 0.259 0.026 0.982 0.982 0.982 0.982 0.982
Value of Input 3 0.959 0.959 0.959 0.959 0.959 0.959 0.959 0.959 0.959 0.959 0.959 0.747 0.518 0.276 0.0235
Value of output 0.761 0.728 0.766 0.718 0.521 0.761 0.525 0.500 0.491 0.187 (Minimum) 0.761 0.572 0.505 0.500 0.500
Table 2. Input and Output Values
56
