The following is a payoff table giving profits for various situations States of
ID: 3326722 • Letter: T
Question
The following is a payoff table giving profits for various situations States of Nature Alternatives Alternative 1 1 Alternative 2 Alternative 3 20 Do Nothing 100 120 180 120 140 120 100 50 The probabilities for states of nature A, B, and C are 0.3,0.5, and 0.2, respectively a. If the manager of this company is pessimistic, what alternative should he select? b. If the manager of this company is optimistic, what alternative should he select? e. If the coefficient of realism (a) is 0.80, what alternative should be selected (based on the criterion of realism)? d. If the criterion of the opportunity loss (Minimax Regret) is used, what alternative should e. Use the payoffs and the probabilities to calculate the expected monetary values (EMV). f. Calculate the expected value of perfect information (EVPT) (hint: You must calculate the g. Calculate the opportunity loss table and the expected opportunity loss (EOL). Based on be selected Based on the EMV, what alternative should the manager select? expected value with perfect information in order to determine the EVPI) EOL criterion, what alternative should be selected?Explanation / Answer
a) we know the pessimistic(maximin):
To obtain this we 1st select minimum payoffs from each row,
so,
minimum payoff from 1st row:100
minimum payoff from 2st row:120
minimum payoff from 3st row:50
as this is best of worst approch so now we select the maximum among these minimum
i.e. pessimistic=maximin(max(100,120,50)=120
so we select the 2nd Alternative
b)we know the optimistic(maximax):
To obtain the optimistic 1st we select maximum payoff from each row
so,
maximum payoff from 1st row:180
maximum payoff from 2nd row:140
maximum payoff from 3rd row:200
as we know optimistic is best in best approch so,
optimistic=maximax(max(180,140,200)=200
so we select the 3rd alternative.
d)now we have to obtain the minimax regret:
for this we have to obtain regret=Best payoff(from ech column)-each payoff recived from that column
A B C MAX
A1 (200-100)=100 (140-120)=20 (180-180)=0 100
A2 (200-120)=80 (140-140)=0 (180-120)=60 80
A3 (200-200)=0 (140-100)=40 (180-50)=130 130
now we choose minimum from these maximum,
so, min(100,80,130)=80
this is corresponding to 2nd alternative.
so we will select 2nd alternative in this approch.
e)
To find EMV
we have given probabilities,
A B C
A1 100 120 180
A2 120 140 120
A3 200 100 50
prob. 0.3 0.5 0.2
now to obtain EMV:
0.3(100)+0.5(120)+0.2(180)=126
0.3(120)+0.5(140)+0.2(120)=130
0.3(200)+0.5(100)+0.2(50)=120
and the best EMV is 130
so we choose the 2nd alternative.
f)
Noe we calculate the EVPI
EVPI=(expected payoff with perfect information)-(expected value without perfect information)
expected value without perfect information=maximum EMV=130
to calculate expected payoff with perfect information , we choose the best payoff from each column as given below,
A B C
A1 100 120 180
A2 120 140 60
A3 200 100 50
prob. 0.3 0.5 0.2
best 200 140 180
Expected payoff with perfect information= 0.3(200)+0.5(140)+0.2(180)=166
so, EVPI=166-130=36
g)
EOL(Expected Opportunity Loss)
To calculate EOL the regret is ,
regret=bsrt payoff in perticuler state of natur-actual payoff which is recived
Regret table:
A B C
A1 (200-100)=100 (140-120)=20 (180-180)=0
A2 (200-120)=80 (140-140)=0 (180-120)=60
A3 (200-200)=0 (140-100)=40 (180-50)=130
prob 0.3 0.5 0.2
0.3(100)+0.5(20)+0.2(0)=40
0.3(80)+0.5(0)+0.2(60)=36
0.3(0)+0.5(40)+0.2(130)=46
we always choose the value with minimum EOL i.e. 36
so the maneger will choose the 2nd alternative.
Note that,
The min EOL Decision = Max EMV Decision.
EVPI=min EOL
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