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A Framework of Fuzzy Diagnosis
December 2004 (vol. 16 no. 12)
pp. 1571-1582
ASCII Text
x 
 
Huaiqing Wang, Mingyi Zhang, Dongming Xu, Dan Zhang, "A Framework of Fuzzy Diagnosis," IEEE Transactions on Knowledge and Data Engineering, vol. 16, no. 12, pp. 1571-1582, December, 2004.
 
 
BibTex
x
 
@article{ 10.1109/TKDE.2004.80,
author = {Huaiqing Wang and Mingyi Zhang and Dongming Xu and Dan Zhang},
title = {A Framework of Fuzzy Diagnosis},
journal ={IEEE Transactions on Knowledge and Data Engineering},
volume = {16},
number = {12},
issn = {1041-4347},
year = {2004},
pages = {1571-1582},
doi = {http://doi.ieeecomputersociety.org/10.1109/TKDE.2004.80},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Knowledge and Data Engineering
TI - A Framework of Fuzzy Diagnosis
IS - 12
SN - 1041-4347
SP1571
EP1582
EPD - 1571-1582
A1 - Huaiqing Wang,
A1 - Mingyi Zhang,
A1 - Dongming Xu,
A1 - Dan Zhang,
PY - 2004
KW - Knowledge representation
KW - fuzzy diagnosis
KW - fault diagnosis
KW - uncertainty reasoning
KW - fuzzy truth function logic
KW - clause-style fuzzy theories.
VL - 16
JA - IEEE Transactions on Knowledge and Data Engineering
ER -
 
Fault diagnosis has become an important component in intelligent systems, such as intelligent control systems and intelligent eLearning systems. Reiter's diagnosis theory, described by first-order sentences, has been attracting much attention in this field. However, descriptions and observations of most real-world situations are related to fuzziness because of the incompleteness and the uncertainty of knowledge, e.g., the fault diagnosis of student behaviors in the eLearning processes. In this paper, an extension of Reiter's consistency-based diagnosis methodology, Fuzzy Diagnosis, has been proposed, which is able to deal with incomplete or fuzzy knowledge. A number of important properties of the Fuzzy diagnoses schemes have also been established. The computing of fuzzy diagnoses is mapped to solving a system of inequalities. Some special cases, abstracted from real-world situations, have been discussed. In particular, the fuzzy diagnosis problem, in which fuzzy observations are represented by clause-style fuzzy theories, has been presented and its solving method has also been given. A student fault diagnostic problem abstracted from a simplified real-world eLearning case is described to demonstrate the application of our diagnostic framework.

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Index Terms:
Knowledge representation, fuzzy diagnosis, fault diagnosis, uncertainty reasoning, fuzzy truth function logic, clause-style fuzzy theories.
Citation:
Huaiqing Wang, Mingyi Zhang, Dongming Xu, Dan Zhang, "A Framework of Fuzzy Diagnosis," IEEE Transactions on Knowledge and Data Engineering, vol. 16, no. 12, pp. 1571-1582, Dec. 2004, doi:10.1109/TKDE.2004.80
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