2007
DOI: 10.2172/903427
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LinguisticBelief: a java application for linguistic evaluation using belief, fuzzy sets, and approximate reasoning.

Abstract: LinguisticBelief is a Java computer code that evaluates combinations of linguistic variables using an approximate reasoning rule base. Each variable is comprised of fuzzy sets, and a rule base describes the reasoning on combinations of variables' fuzzy sets. Uncertainty is considered and propagated through the rule base using the belief/plausibility measure. The mathematics of fuzzy sets, approximate reasoning, and belief/ plausibility are complex. Without an automated tool, this complexity precludes their app… Show more

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Cited by 6 publications
(6 citation statements)
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“…Wyss et al [12] developed a riskbased approach for safeguards and security decision-making that provides additional data to consider adversary activities before an attack. Several other efforts address integration of adversary activities to determine a wider range of threats beyond a design basis [13,14,15]; to develop an uncertainty risk analysis (URA) [16,17,18,19] technique to evaluate the risks of intentional acts; and to provide total risk assessment capability (TRAC) that addresses adversary threat, vulnerability and consequence [20].…”
Section: Integrating Safeguards and Security For Nuclear Facility Designmentioning
confidence: 99%
“…Wyss et al [12] developed a riskbased approach for safeguards and security decision-making that provides additional data to consider adversary activities before an attack. Several other efforts address integration of adversary activities to determine a wider range of threats beyond a design basis [13,14,15]; to develop an uncertainty risk analysis (URA) [16,17,18,19] technique to evaluate the risks of intentional acts; and to provide total risk assessment capability (TRAC) that addresses adversary threat, vulnerability and consequence [20].…”
Section: Integrating Safeguards and Security For Nuclear Facility Designmentioning
confidence: 99%
“…LinguisticBelief, a computer tool that has been under development at Sandia National Laboratories, is designed to analyze combinations of linguistic variables in which there is significant vagueness (Darby, 2007). The belief/plausibility measure of uncertainty is used to capture and propagate uncertainty for the linguistic variables.…”
Section: Analyzing Security Solutionsmentioning
confidence: 99%
“…[Darby 2006 and2007] For the purposes of this report, the following summary information is provided. When we use linguistics (words) to classify events the words have a type of uncertainty called "vagueness."…”
Section: Summary Of Techniques Used In Linguisticbeliefmentioning
confidence: 99%
“…Certainty is a case where the probability is 1.0 for one fuzzy set. [Darby 2006 and2007] The bottom graph in Figure 4-2 is the complementary cumulative belief/plausibility function for "Risk Level," or the "likelihood" of exceedance of a fuzzy set for "Risk Level." The likelihood that "Risk Level" is greater than "Discretionary" is 1.0, the likelihood that "Risk Level" is greater than "Emerging Concern" is 1.0, and the likelihood that "Risk Level" is greater than "High" is 0.0 since we are certain that the risk for this scenario is "High."…”
Section: Evaluation Without Consideration Of Uncertaintymentioning
confidence: 99%
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