The problem of uncertainty management in systems based on rules can be dealt with using several methodologies. A particularly significant and well-founded ...
The problem of uncertainty management in systems based on rules can be dealt with using several methodologies. A particularly significant and well-founded ...
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Apr 22, 2023 · Additionally, rule-based systems may struggle to handle situations where the knowledge is uncertain or ambiguous, leading to less accurate or ...
The learning method employed in this program is described in general terms, illustrated with its application to the problem of learning rules that correctly ...
The paper describes knowledge acquisition under uncertainty using rough set theory, a concept introduced by Z. Pawlak in 1981.
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Feb 3, 2023 · Rule-based systems are AI systems that use a set of rules to make decisions or solve problems. The rules are typically defined by human experts in the domain.
Limitations of the technology. 2. Problems with knowledge acquisition. 3. Operational domains as the principal area of ES application. 4. Maintaining human ...
Mar 2, 2017 · The kind of AIs that employ machine learning also does follow certain rules, it's just that their enforcement is considerably more vague.
We demonstrate that classes of dependencies among beliefs held with uncertainty cannot be represented in rule-based systems in a natural or efficient manner ...
Some problems on uncertain knowledge acquisition for rule based systems. Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/dss ...