Probabilistic models considering dependent relation in reasoning for decision-making |
| |
Authors: | Rumiko Azuma Hayao Miyagi |
| |
Affiliation: | (1) Graduate School of Engineering and Science, University of the Ryukyus, Nishihara, 1 Senbaru, Okinawa 903-0213, Japan;(2) Faculty of Engineering, University of the Ryukyus, Nishihara, 1 Senbaru, Okinawa 903-0213, Japan |
| |
Abstract: | This paper proposes a fuzzy dependence-index for construction of the probabilistic models considering dependent relation for
solving the reasoning problem. It is important for constructing the joint probability-distribution to consider the dependency
of events. We consider that some vagueness is included in the dependency. Because causal relationship of among events is uncertain,
it is difficult to express dependency as definite value. In this paper, we classify the dependent relations, and apply the
fuzzy probability to calculation of the dependence-index. Then, the fuzzy dependence-index is defined to consider dependency
with fuzziness. Using the fuzzy dependence-index, we calculate the joint probability of multi-events for constructing the
probabilistic model.
This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January
31–February 2, 2008 |
| |
Keywords: | Fuzzy probability Probabilistic model Fuzzy dependence-index |
本文献已被 SpringerLink 等数据库收录! |
|