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Fuzzy neural networks with certainty factors
IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222), 2002The integration of certainty factors (CFs) into the neural computing framework has resulted in a special artificial neural network known as the CFNet. This paper presents the fuz-CFNet which is devoted to classification domains where instances are described by continuous attributes.
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The application of certainty factors to neural computing for rule discovery
IEEE Transactions on Neural Networks, 2000Discovery of domain principles has been a major long-term goal for scientists. This paper presents a new system named DOMRUL for learning such principles in the form of rules. A distinctive feature of the system is the integration of the certainty factor (CF) model and a neural network. These two elements complement each other.
Li-Min Fu, Edward H. Shortliffe
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MOLE: a knowledge acquisition tool that buries certainty factors
International Journal of Man-Machine Studies, 1988MOLE is a knowledge acquisition tool for helping experts build systems that do differential diagnosis. Diagnostic expert systems often have to rely upon inferences that involve some degree of uncertainty. Typically, the tentativeness of the rules of inference is represented by certainty factors or some other cardinal measure of support.
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Context modeling and reasoning based on certainty factor
2009 Asia-Pacific Conference on Computational Intelligence and Industrial Applications (PACIIA), 2009context-aware computing is an emerging computing paradigm that provides intelligent context-aware application. Its core idea is to have computers understand the real world so that human-computer interactions can happen at a much higher abstraction level, hence to make the interactions much more pleasant or transparent to human users.
null Qian Hao, null Tao Lu
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A Comparison of the Manipulation of Certainty Factors by Individuals and Expert System Shells
Journal of Management Information Systems, 1988The treatment of uncertainty in expert system shells is addressed, starting with a review of the modeling of uncertainty by expert system shells. An experiment to replicate earlier work investigating the manner in which individuals manipulate certainty factors in comparison to commercial shells is discussed.
David P. Kopcso +2 more
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Probabilistic Interpretations for Mycin's Certainty Factors
1986We propose a redefinition of the quantities called certainty factors used by MYCIN to manage uncertainty. This definition is based on the desiderata of certainty factors given in the original work. It is emphasized that this definition reflects the not ion that certainty factors represent changes in belief about hypotheses given evidence as opposed to ...
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Certainty Factor Triunity in Medical Diagnostics Tasks
Scientific and Technical Information Processing, 2019This paper suggests approaches to investigating and solving the problem of three factors that characterize the measure of expert confidence in the occurrence of symptoms in diseases, the timing of the manifestation of symptoms, and the frequency of symptoms in progressive hereditary diseases in five age groups that differ in clinical manifestations (a ...
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Checking a rule base with certainty factor for incompleteness and inconsistency
1988Checking a rule base for incompleteness and inconsistency should be based on possible execution paths of rules. For checking a rule base with certainty factor, we should consider not only simple execution paths, but also complex execution paths of rules. A goal can be resolved with a qualified hypothesis.
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