Occasionally a decision is sensitive to the way it is structured. The following problem shows that leaving out an important part of the problem can affect the way we view the situation.
a. Imagine that a close friend has been diagnosed with heart disease. The physician recommends bypass surgery. The surgery should solve the problem. When asked about the risks, the physician replies that a few individuals die during the operation, but most recover, and the surgery is a complete success. Thus, your friend can (most likely) anticipate a longer and healthier life after the surgery. With-out surgery, your friend will have a shorter and gradually deteriorating life. Assuming that your friend’s objective is to maximize the quality of her life, using PrecisionTree diagram this decision with both an influence diagram and a decision tree.
b. Suppose now that your friend obtains a second opinion. The second physician suggests that there is a third possible outcome: Complications from surgery can develop which will require long and painful treatment. If this happens, the eventual outcome can be either a fullrecovery, partial recovery (restricted to a wheelchair until death), ordeath within a few months. How does this change the decision tree and influence diagram that you created in part a? Draw the decision
tree and influence diagram using PrecisionTree that represent the situation after hearing from both physicians. Given this new structure, does surgery look more or less positive than it did in part a?
c. Construct an attribute scale for the patient’s quality of life. Be sure to include levels that relate to all of the possible outcomes from surgery.