On modeling of if-then rules for probabilistic inference
نویسندگان
چکیده
We identify various situations in probabilistic intelligent systems in which conditionals (rules) as mathematical entities as well as their conditional logic operations are needed. In discussing Bayesian updating procedure and belief function construction, we provide a new method for modeling if ... then rules as Boolean elements, and yet, compatible with conditional probability quantifications.
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ورودعنوان ژورنال:
- Int. J. Intell. Syst.
دوره 9 شماره
صفحات -
تاریخ انتشار 1994