DocumentCode
2445955
Title
Reasoning with probabilistic inputs
Author
Yager, Ronald R. ; Filev, Dimitar P.
Author_Institution
Machine Intelligence Inst., Iona Coll., New Rochelle, NY, USA
fYear
1994
fDate
18-21 Dec 1994
Firstpage
352
Lastpage
356
Abstract
We suggest a new approach for reasoning in fuzzy models that have probabilistic inputs. It utilizes a belief structure interpretation of the probabilistic signal. We obtained result that is computationally effective and can be useful in the applications of fuzzy systems in a noisy environment
Keywords
fuzzy systems; inference mechanisms; probability; uncertainty handling; belief structure interpretation; fuzzy models; fuzzy systems; noisy environment; probabilistic inputs; reasoning; Bismuth; Density measurement; Educational institutions; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Histograms; Machine intelligence; Probability density function; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society Biannual Conference, 1994. Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technology Workshop on Neural Networks and Fuzzy Logic,
Conference_Location
San Antonio, TX
Print_ISBN
0-7803-2125-1
Type
conf
DOI
10.1109/IJCF.1994.375062
Filename
375062
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