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Archive for October 2008

Decision theory: decision matrix

Posted by: carkod on: October 5, 2008

The decision problem
Usually we have to choose an alternative among others, the act of deciding may carry certainty or uncertainty. Decisions are for certain when you´ve got plenty information of what you´ll do, for instance, if we want to buy clothes there´s a lot of shops, cheaper or more expensive, this decision has [...]

Decision theory: the decision criteria

Posted by: carkod on: October 5, 2008

Decision criteria
Choosing something is just like a lottery, but to make it less random, we should follow some selection criteria in order to choose among the alternatives helpings us to compare and of course make our decision.
The minimum and maximum criteria
This trick is pretty easy, suitable for pessimistic people. Just take the lowest [...]

Decision tree

Posted by: carkod on: October 5, 2008

Decision tree
Another method to depict the sequence of a decision is the decision tree. Where squares are decisions and circles are states of nature (events). We usually depict two contrary events, connected by branches. Over the braches probabilities of occurrences are written.

Here, “A” means bet, “G” means win and “P” to lose. The [...]

Decision theory: perfect information

Posted by: carkod on: October 5, 2008

Perfect information
An individual with perfect information knows before the decision that a state of nature is going to happen, the best choice would be the maximum of each state of nature (each row ei), this is usually denoted by Mi. Afterwards, we calculate the expected value, under the name of expected value on [...]


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