4. For a universal set X = {a, b, c, d, e) of 5 kinds of features, Basic probability assignments (BPA) of evidence are given by a sensor A, as follows: mA({a})= 0.3, m({a, b}) = 0.2, m₁({a,b,c})= 0.3, m₁(X) = 0.2 Here, another sensor B independently has a different body of evidence, mg({b})= 0.5, mg({a, b, c)) = 0.3, mg(x) = 0.2 1) Obtain the combined bodies of evidence (FAB, MAB} from Demster-Shafer's rule of combination in evidence: the combined BPAs and focal elements. 2) Find a fuzzy set of sensor B, induced (.) from the possibility hypothesis.
4. For a universal set X = {a, b, c, d, e) of 5 kinds of features, Basic probability assignments (BPA) of evidence are given by a sensor A, as follows: mA({a})= 0.3, m({a, b}) = 0.2, m₁({a,b,c})= 0.3, m₁(X) = 0.2 Here, another sensor B independently has a different body of evidence, mg({b})= 0.5, mg({a, b, c)) = 0.3, mg(x) = 0.2 1) Obtain the combined bodies of evidence (FAB, MAB} from Demster-Shafer's rule of combination in evidence: the combined BPAs and focal elements. 2) Find a fuzzy set of sensor B, induced (.) from the possibility hypothesis.
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For a univeraal set X= { a,b,c,d,e} of 5 kinds of features Basic probability assignment (BPA) of evidence are given by a sensor A as fallow
mA({a})= 0.3, mA({a,b,c})= 0.3,mA(X)= 0.2
Here another sensor B independently has a different body of evidence
MB({b})= 0.5, mB({a,b,c})= 0.3,mB(X)= 0.2
1) obtaun the combined body of evidence { FAB,mAB} from Demster- Shafers rule of combination in evidence: the combined BPAs and focal elements.
2) Find a fuzzy set of sensor B, induced
Mu g(.) From the possibility hypothesis
![allKT
K
12:17
✰ocs.cau.ac.kr
4. For a universal set X = {a, b, c, d, e) of 5 kinds of
features, Basic probability assignments (BPA) of
evidence are given by a sensor A, as follows:
mA({a})= 0.3, mA({a, b})= 0.2, m₁({a, b, c)) = 0.3, mA(X) = 0.2
Here, another sensor B independently has a different
body of evidence,
mg({b})=0.5, mg((a, b, c)) = 0.3, mg(x) = 0.2
→
8%
1) Obtain the combined bodies of evidence {FAB, MAB) from
Demster-Shafer's rule of combination in evidence: the
combined BPAs and focal elements.
2) Find a fuzzy set of sensor B, induced HB.) from the
possibility hypothesis.
+
36](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F9d53e0eb-f5bd-4721-9dc8-62ee97ae752f%2Ff7f10d8e-5eea-4fca-b96e-fb8548401f94%2Fwwik368_processed.jpeg&w=3840&q=75)
Transcribed Image Text:allKT
K
12:17
✰ocs.cau.ac.kr
4. For a universal set X = {a, b, c, d, e) of 5 kinds of
features, Basic probability assignments (BPA) of
evidence are given by a sensor A, as follows:
mA({a})= 0.3, mA({a, b})= 0.2, m₁({a, b, c)) = 0.3, mA(X) = 0.2
Here, another sensor B independently has a different
body of evidence,
mg({b})=0.5, mg((a, b, c)) = 0.3, mg(x) = 0.2
→
8%
1) Obtain the combined bodies of evidence {FAB, MAB) from
Demster-Shafer's rule of combination in evidence: the
combined BPAs and focal elements.
2) Find a fuzzy set of sensor B, induced HB.) from the
possibility hypothesis.
+
36
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