4.10. Two companies bid for a contract. A committee has to review the estimates of those companies and give reports to its chairperson. The reviewed reports are evaluated on a nondimensional scale and assigned a weighted score that is represented by a fuzzy membership function, as illustrated by the two fuzzy sets, B1 and B2, in Figure P4.10. The chairperson is interested in the lowest bid, as well as a metric to measure the combined "best" score. For the logical union of the membership functions shown, we want to find the defuzzified quantity. For each of the seven methods presented in this chapter, assess (a) whether each is applicable and, if so, (b) calculate the defuzzified value, z". 0.7 B, 0.5 0.5 B1 1 2 3 5 6 I 2 3 4 5 6 (a) (b) FIGURE P4.10
4.10. Two companies bid for a contract. A committee has to review the estimates of those companies and give reports to its chairperson. The reviewed reports are evaluated on a nondimensional scale and assigned a weighted score that is represented by a fuzzy membership function, as illustrated by the two fuzzy sets, B1 and B2, in Figure P4.10. The chairperson is interested in the lowest bid, as well as a metric to measure the combined "best" score. For the logical union of the membership functions shown, we want to find the defuzzified quantity. For each of the seven methods presented in this chapter, assess (a) whether each is applicable and, if so, (b) calculate the defuzzified value, z". 0.7 B, 0.5 0.5 B1 1 2 3 5 6 I 2 3 4 5 6 (a) (b) FIGURE P4.10
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 10CYU
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Transcribed Image Text:4.10. Two companies bid for a contract. A committee has to review the estimates of those
companies and give reports to its chairperson. The reviewed reports are evaluated
on a nondimensional scale and assigned a weighted score that is represented by
a fuzzy membership function, as illustrated by the two fuzzy sets, B and B2, in
Figure P4.10. The chairperson is interested in the lowest bid, as well as a metric
to measure the combined "best" score. For the logical union of the membership
functions shown, we want to find the defuzzified quantity. For each of the seven
methods presented in this chapter, assess (a) whether each is applicable and, if so,
(b) calculate the defuzzified value, z*.
0.7
B,
0.5
0.5
B1
2
3
4
6
4
5
6.
(a)
(b)
FIGURE P4.10
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