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2008
Bayes’ formulas are complex enough and definitely not adequate to human’s brain reasoning activities. Certainty factors theory is an alternative to Bayesian reasoning – when reliable statistical information is not available or the independence of evidence cannot be assumed – and introduces a certainty factors calculus based on the human expert ...
Eugene Roventa, Tiberiu Spircu
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Bayes’ formulas are complex enough and definitely not adequate to human’s brain reasoning activities. Certainty factors theory is an alternative to Bayesian reasoning – when reliable statistical information is not available or the independence of evidence cannot be assumed – and introduces a certainty factors calculus based on the human expert ...
Eugene Roventa, Tiberiu Spircu
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Image classification by extended certainty factors
Pattern Recognition, 1993Abstract Two supervised classifiers based on Certainty Factors (CFs) are described; in particular, a new algorithm for the generation of the base of classification rules is proposed. Such an algorithm specifies what “events” should be used as conditions and with what CFs rules may assign samples to classes.
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Some problems related with probabilistic interpretations for certainty factors
[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems, 2003Some problems identified by J.B. Adams (Mathemat. Biosciences, vol.32, p.177, 1976) in the MYCIN-model are discussed. It is found that these problems are related only with an inappropriate interpretation for certainty factors assigned to rules. This interpretation is purely formal and has no influence upon the actual elicitation and use of such factors.
Dan Qiu, Joachim Dudeck
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Hypergame analysis introducing certainty factor
1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation, 2002The paper presents two methods of hypergame analysis to model and analyze such conflicts where players have plural perceptions about conflict situations. A certainty factor is first defined to evaluate the assurance degree for expected game. The certainty factor is fundamental and is used to combine plural perceptions in hypergame. The relation between
A. Monden, K. Ogino, N. Adachi
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Resuscitation of certainty factors in expert networks
[Proceedings] 1991 IEEE International Joint Conference on Neural Networks, 1991An expert network is a form of neural network which captures the rule-based knowledge of an expert system in digraph form. Connectionist learning techniques have been developed for these hybrid systems. In the present work, a study of the performance of these training algorithms in recovering certainty factors for expert networks is presented.
S.I. Hruska, D.C. Kuncicky, R.C. Lacher
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Immediacy and certainty: factors in understanding future reference
Journal of Child Language, 1982ABSTRACTSeventy-five children, 3, 4, and 5 years old, were interviewed about: (a) toys they had played with just a few minutes earlier, (b) toys they had played with on the preceding day, (c) toys they would play with in a few minutes, and (d) toys reserved for use on the following day.
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An Approach using Certainty Factor Rules for Aphasia Diagnosis
2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA), 2019Artificial Intelligence methods are frequently applied to medical domains assisting in various tasks, like diagnosis. The implementation of corresponding intelligent systems is based on available datasets and expert knowledge. In this paper, we present a rule-based approach used for aphasia diagnosis.
Georgia Konstantinopoulou +3 more
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AIDS and transfer factor: Myths, certainties and realities
Biotherapy, 1996At the end of the 20th century, the triumph of biology is as indisputable as that of physics was at the end of the 19th century, and so is the might of the inductive thought. Virtually all diseases have been seemingly conquered and HIV, the cause of AIDS, has been fully described ten years after the onset of the epidemic.
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A knowledge-based genetic heuristic for learning certainty factors
Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence, 2002An expert network is a type of inference network that is derived from an expert system. One of the uses of expert networks is to to refine measures of certainty in knowledge bases using neural network learning techniques. Goal-directed Monte Carlo search (GDMC) is a parallel stochastic hillclimbing method that is being successfully used to refine ...
Douglas B. Lynch, David C. Kuncicky
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Fuzzy Certainty Factor for incomplete information
2016 International Conference on Fuzzy Theory and Its Applications (iFuzzy), 2016Fuzzy logic has flexibility in defining fuzzy sets. Zadeh defined fuzzy sets for incomplete information with single fuzzy membership. The two fold fuzzy set will give more information than the single membership function. In this paper, two fuzzy set is studied with two membership functions “Belief” and “Disbelief”.
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