Kittawit Autchariyapanitkul

We don’t have enough information about this author to calculate their statistics. If you think this is an error let us know.
Learn More
—The empirical distribution of the number of casualties in wars and terrorist attacks follows a power law with exponent 2.5. So far, there has not been a convincing explanation for this empirical fact. In this paper, we show that by using fuzzy techniques, we can explain this exponent. Interesting, we can also get a similar explanation if we use(More)
—In many practical situations, we need to fuse and integrate information and knowledge from different sources – and do it under uncertainty. The existing methods for information fusion and knowledge integration take into account uncertainty, but, in addition to uncertainty, we also face the problem of reliability: sensors may malfunction, experts can be(More)
It is known that from the purely mathematical viewpoint, fuzzy sets can be interpreted as equivalent classes of random sets. This interpretations helps to teach fuzzy techniques to statisticians and also enables us to apply results about random sets to fuzzy techniques. The problem with this interpretation is that it is too complicated: a random set is not(More)