Konferenční příspěvek

Decision Making with Multiple Imperfect Decision Makers

Institute of Information Theory and Automation Academy of Sc

Prague

2010

978-80-903834-5-6

Ing. Vladimíra Sečkárová (ÚTIA - Oddělení adaptivních systémů)

Bayesian decision making, Supra-Bayesian approach, sharing o

In practice we often need to take every available information into account. Unfortunately the pieces of information given by different sources are often incomplete (with respect to what we are interested in) and have different forms. In this work we try to solve the problem of treating such data in order to get an optimal merger of them. We present a systematic and unified way how to combine the pieces of information by using a Supra-Bayesian approach and other mathematical tools, e.g. Kerridge inaccuracy, maximum entropy principle. To show how the proposed method works a simple example is given at the end of the work.