The number of knowledge-based systems that build on Bayesian belief networks is increasing.\ud The construction of such a network however requires a large number of probabilities in\ud numerical form. This is often considered a major obstacle, one of the reasons being that\ud experts are reluctant to provide numerical probabilities. The use of verbal probability\ud expressions as an additional method of eliciting probabilistic information may to some extent\ud remove this obstacle. In this paper, we review studies that address the communication of\ud probabilities in words and/or numbers. We then describe our own experiments concerning the\ud development of a probability scale that contains words as well as numbers. This scale appears\ud to be an aid for researchers and domain experts during the elicitation phase of building a belief\ud network and might help users understand the output of the network
To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.