Flexible Data Fusion (and Fission)

Yeh, Alexander S.

Flexible Data Fusion (and Fission)

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Proceedings of the Ninth International Joint Conference on Artificial Intelligence. Expert Systems. Pages 420-421.

Abstract

An approach is described for developing methods for "data fusion": given how events A & B occurring by themselves influence some measure, estimate the influence (on that measure) of A and B occurring together. An example is "combine the effects of evidence on the belief (likelihood) of some hypothesis." This approach also deals with the opposite problem of estimating the effects on a measure of A and B by themselves when only their combined effects are known: data fission. The methods developed will both 1) try to make intuitive estimations at information not given, and 2) not conflict with any information given (unless it is inconsistent).

Alexander S. Yeh. 1985. Flexible Data Fusion (and Fission). In Proceedings of the Ninth International Joint Conference on Artificial Intelligence, IJCAI-85. IJCAI, 420–421. https://ijcai.org/proceedings/1985/81

@inproceedings{ijcai1985p81,
  title     = {Flexible Data Fusion (and Fission)},
  author    = {Yeh, Alexander S.},
  booktitle = {Proceedings of the Ninth International Joint Conference on
               Artificial Intelligence, {IJCAI-85}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {Aravind Joshi},
  pages     = {420--421},
  year      = {1985},
  note      = {Expert Systems},
  url       = {https://ijcai.org/proceedings/1985/81},
}

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TI  - Flexible Data Fusion (and Fission)
AU  - Yeh, Alexander S.
T2  - Proceedings of the Ninth International Joint Conference on Artificial Intelligence, IJCAI-85
PB  - International Joint Conferences on Artificial Intelligence
PY  - 1985
SP  - 420
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UR  - https://ijcai.org/proceedings/1985/81
ER  -