@misc{10481/77867,
year = {1993},
month = {9},
url = {https://hdl.handle.net/10481/77867},
abstract = {The management of uncertainty and imprecision is becoming more and more
important in knowledge-based systems. Fuzzy logic provides a systematic basis for
representing and inferring with this kind of knowledge. This paper describes an
approach for fuzzy inference based on an uncertainty forward propagation method and
a change in the granularity of the elements involved. The proposed model is able to
handle very general kinds of facts and rules, and it also verifies the most usual
properties required by a fuzzy inference model.},
publisher = {Elsevier},
keywords = {Fuzzy logic},
keywords = {Fuzzy inference},
keywords = {Uncertainty management},
keywords = {Upper and lower probabilities},
keywords = {Inteligencia artificial},
keywords = {Artificial intelligence},
title = {A Fuzzy Inference Model Based on an Uncertainty Forward Propagation Approach},
doi = {10.1016/0888-613X(93)90017-8},
author = {Campos Ibáñez, Luis Miguel and González Muñoz, Antonio},
}