Question: Problem 2 : The Joint Staff is evaluating several force structure alternatives using a combat simulation model. They are interested in the ability of the

Problem 2: The Joint Staff is evaluating several force structure alternatives using a combat simulation model. They are interested in the ability of the force to fight and win in a large scale combat operation. The measures that they have decided to use (and that will be computed as output from the simulation model) are Probability of Victory, Number of Casualties (in number of people), and Time to Mission Accomplishment (in months). Your task is to construct a value function and use it to evaluate the alternatives. For that purpose, the following information is given.
Parameters for Problem 2:
Single dimensional value function for Probability of Victory is piecewise linear such that P[v]=0 has zero value, P[v]=.5 has a value score of .25, and P[v]=1 has a value of 1. It is linear in between.
Single dimensional value function for Numbers of Casualties, which range from a low of 250 to a high of 1500, is exponential with a midvalue at 500.
The single dimensional value function for time to mission accomplishment ranges between 2 months and 18 months and is linear.
The analysts elicited the following alternatives from the decisions maker. The decision maker expressed indifference between these alternatives:
A B
Time to Mission Accomplishment:
6 months
12 months
Casualties:
700
350
C D
Casualties:
1000
800
Probability of Victory:
.95
.80
Compute the weights for the attributes. Write down the complete value function.
Problem 3: Compute the weights associated with 4,5, and 6 attributes in SMARTER, and compute the weights for 4 attributes when attributes 2 and 3 are equal.
Problem 4: Compute the weights associated with 4,5, and 6 attributes in the Rank Reciprocal method, and compute the weights for 4 attributes when attributes 2 and 3 are equal.
Problem 5: Compute the weights associated with 4,5, and 6 attributes in the Rank Sum method, and compute the weights for 4 attributes when attributes 2 and 3 are equal.

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