A Fuzzy Inference Model Based on an Uncertainty Forward Propagation Approach Campos Ibáñez, Luis Miguel González Muñoz, Antonio Fuzzy logic Fuzzy inference Uncertainty management Upper and lower probabilities Inteligencia artificial Artificial intelligence 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. 2022-11-10T08:10:09Z 2022-11-10T08:10:09Z 1993-09 journal article Luis M. de Campos, Antonio González, A fuzzy inference model based on an uncertainty forward propagation approach, International Journal of Approximate Reasoning, Volume 9, Issue 2, 1993, Pages 139-164, ISSN 0888-613X, [https://doi.org/10.1016/0888-613X(93)90017-8] https://hdl.handle.net/10481/77867 10.1016/0888-613X(93)90017-8 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 Internacional Elsevier