B/ As shown in the following Fuzzy Sets = {Negative, Zero, Positive} Assuming that we are using trapezoidal membership functions, What is the degree of membership of x in each of the Fuzzy Sets at Crisp Input: x = 0.2 and -0.2? NEGATIVE ZERO POSITIVE 0.0 -3.0 -2.5 -1.0 -0.5 0.0 0.5 1.0 25 3.0

B/ As shown in the following Fuzzy Sets = {Negative, Zero, Positive} Assuming that we are using trapezoidal membership functions, What is the degree of membership of x in each of the Fuzzy Sets at Crisp Input: x = 0.2 and -0.2? NEGATIVE ZERO POSITIVE 0.0 -3.0 -2.5 -1.0 -0.5 0.0 0.5 1.0 25 3.0

Elements Of Electromagnetics

7th Edition

ISBN:9780190698614

Author:Sadiku, Matthew N. O.

Publisher:Sadiku, Matthew N. O.

ChapterMA: Math Assessment

Section: Chapter Questions

Problem 1.1MA

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HW 2_2 The volume of a partially-filled spherical tank can be computed as: V = πα 3 (3R – d); where d is the depth of the water in the tank (m) and R is the radius of the tank (m). Given that R=3m, to what depth must the tank be filled so that it holds 30 m³? Write a PYTHON code & implement the bisection algorithm to answer the question correct to 3 sig figs. Plot to select your own initial guesses. Display the answer in an informative sentence, using formatted printing.
Can you answer this?
2- Consider figure represented below: If the number of finished goods () is 10,000, then what is the input ()?
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From 1.31 1.32 and 1.33 show all work
I wanted to know how to create plots like these in MATLAB. I belive they were called herpolhode plots.
In your biomechanical testing lab, you perform a series of compression tests to determine the relationship between apparent bone density (p, units of g/cm³) and ultimate stress (ơult, units of MPa). Using the set of experimental measurements below, write an m-file to fit a power relationship of the form O uli = Ap to the data. Use the log transform method to linearize the system and data, followed by linear regression. Plot the data points and the power relationship on a single plot. Be sure to label your axes and provide a legend. Provide a printout of your m-file and a printout of the command window showing your results. Write down the best fit equation and box it. 8.76 5.25 4.26 5.51 3.88 18.45 2.09 13.72 5.42 2.17 Oult (MPa) p (g/cm³) 0.598 | 0.459 0.319 | 0.235 0.141 0.754 0.177 0.553 0.394 0.246
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