ML Anthology

A General Approach to Decision Making with Evidential Knowledge

Ronald R. Yager
UAI 1985 pp. 317-330
doi:10.1016/B978-0-444-70058-2.50027-9 /uai/1985/yager1985uai-general/

Abstract

We discuss the problem of selecting an optimal alternative in the face of uncertain knowledge about the state of nature. We then introduce a general framework for representing the knowledge about the state of nature. This general framework is based upon the use of fuzzy sets, possibility theory and the Dempster–Shafer mathematical theory of evidence. We then suggest an approach to the selection of an optimal alternative in this more general framework.

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Cite

Text

Yager. "A General Approach to Decision Making with Evidential Knowledge." Conference on Uncertainty in Artificial Intelligence, 1985. doi:10.1016/B978-0-444-70058-2.50027-9

Markdown

[Yager. "A General Approach to Decision Making with Evidential Knowledge." Conference on Uncertainty in Artificial Intelligence, 1985.](https://mlanthology.org/uai/1985/yager1985uai-general/) doi:10.1016/B978-0-444-70058-2.50027-9

BibTeX

@inproceedings{yager1985uai-general,
  title     = {{A General Approach to Decision Making with Evidential Knowledge}},
  author    = {Yager, Ronald R.},
  booktitle = {Conference on Uncertainty in Artificial Intelligence},
  year      = {1985},
  pages     = {317-330},
  doi       = {10.1016/B978-0-444-70058-2.50027-9},
  url       = {https://mlanthology.org/uai/1985/yager1985uai-general/}
}