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 expert...

Full description

Bibliographic Details
Main Authors: Timothy P Hanratty, Robert J Hammell
Format: Article
Language:English
Published: Atlantis Press
Series:International Journal of Networked and Distributed Computing (IJNDC)
Subjects:
Online Access:https://www.atlantis-press.com/article/125913571/view
Description
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:2211-7946