CEVAP:

Since there is always a possibility that the decision turns out to be wrong, there is always some degree of uncertainty about the decision. The expected value of perfect information analysis tries to measure the expected cost of that uncertainty because the perfect information can eliminate the possibility of making the wrong decision. In other words, the expected value of perfect information is used to place an upper limit on what you should pay for information that will aid in making a better decision.