Utilizing Type-2 Fuzzy Sets as an Alternative Approach for Valuing Military Information

Knowledge elicitation from a group versus a single source typically yields outcomes that range in agreement and promote a level of uncertainty. Recently the use of Type-2 fuzzy sets has been proffered as an alternative approach for capturing the difference of opinions expressed by a group of experts...

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Bibliographic Details
Published inThe International journal of networked and distributed computing (Online) Vol. 7; no. 3; pp. 133 - 139
Main Authors Hanratty, Timothy P., Hammell, Robert J.
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 2019
Springer
Subjects
decision support
knowledge engineering
Research Article
Type-2 fuzzy sets
value of information
knowledge engineering
Type-2 fuzzy sets
value of information
decision support
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Summary:Knowledge elicitation from a group versus a single source typically yields outcomes that range in agreement and promote a level of uncertainty. Recently the use of Type-2 fuzzy sets has been proffered as an alternative approach for capturing the difference of opinions expressed by a group of experts during the knowledge elicitation process. This paper examines the preliminary results associated with the transition of an existing Type-1 fuzzy set decision support system to a more flexible Interval Type-2 fuzzy approach.
ISSN:2211-7938
2211-7946
2211-7946
DOI:10.2991/ijndc.k.190710.004