@inproceedings{8df9c38ecded493caa3866c0d2c46c52,
title = "Hybrid model for intent estimation",
abstract = "Real-time data acquired under combat conditions mil have different types of imperfection: two representative classes of imperfection are vagueness and ambiguity in the data. A motivational example is created in this paper to explore the prototyping of a hybrid processing model that can formally process both vague (fuzzy) and ambiguous (probabilistic) data types. The issue is to integrate the heterogeneous models, which have different domains, probability and possibility, This research provides a hybrid model by exploring and adopting a transformation method between probability and possibility.",
keywords = "Bayesian network, Fuzzy logic, Intent estimation, Transformation probability and possibility",
author = "Lee, \{Kangjin David\} and James Llinas",
year = "2003",
doi = "10.1109/ICIF.2003.177376",
language = "English",
isbn = "0972184449",
series = "Proceedings of the 6th International Conference on Information Fusion, FUSION 2003",
publisher = "IEEE Computer Society",
pages = "1215--1222",
booktitle = "Proceedings of the 6th International Conference on Information Fusion, FUSION 2003",
address = "United States",
note = "6th International Conference on Information Fusion, FUSION 2003 ; Conference date: 08-07-2003 Through 11-07-2003",
}