Inference via Belief Qualified If-Then Rules Based on Compatibility Relations and Possibility Theory

Janusz Kacprzyk, Mario Fedrizzi. Inference via Belief Qualified If-Then Rules Based on Compatibility Relations and Possibility Theory. In Bernadette Bouchon-Meunier, Lorenza Saitta, Ronald R. Yager, editors, Uncertainty and Intelligent Systems, 2nd International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 88, Urbino, Italy, July 4-7, 1988, Proceedings. Volume 313 of Lecture Notes in Computer Science, pages 25-32, Springer, 1988.

@inproceedings{KacprzykF88,
  title = {Inference via Belief Qualified If-Then Rules Based on Compatibility Relations and Possibility Theory},
  author = {Janusz Kacprzyk and Mario Fedrizzi},
  year = {1988},
  tags = {rule-based, rules},
  researchr = {https://researchr.org/publication/KacprzykF88},
  cites = {0},
  citedby = {0},
  pages = {25-32},
  booktitle = {Uncertainty and Intelligent Systems, 2nd International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU  88, Urbino, Italy, July 4-7, 1988, Proceedings},
  editor = {Bernadette Bouchon-Meunier and Lorenza Saitta and Ronald R. Yager},
  volume = {313},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-19402-9},
}