Title :
A symbolic model for the representation of uncertain knowledge: theory and applications
Author :
Burattini, E. ; De Glas, M. ; De Gregorio, P.M.
Author_Institution :
Istituto di Cibernetica, CNR, Naples, Italy
Abstract :
The authors show that a formal framework can be proposed within which the expert´s uncertain knowledge can be represented and directly encoded in the knowledge based in a purely qualitative way. Slightly more precisely, a probabilistic-like theory can be elaborated in which, however, the uncertainty degree attached to a given statement is not a real number, but rather a symbolic object in a totally ordered set. A symbolic model for the representation of uncertainty in a knowledge-based system allowing the encoding of the expert´s uncertain knowledge without recourse to any quantification is proposed. The application of this model to a problem in civil engineering leads to the design of an expert system for the statical diagnosis of ancient buildings
Keywords :
civil engineering computing; diagnostic expert systems; inference mechanisms; knowledge representation; uncertainty handling; ancient buildings; civil engineering; expert system; knowledge-based system; probabilistic-like theory; statical diagnosis; symbolic model; uncertain knowledge; uncertainty degree; Buildings; Civil engineering; Encoding; Fuzzy logic; Knowledge based systems; Set theory; Temperature; Uncertainty;
Conference_Titel :
Systems, Man and Cybernetics, 1992., IEEE International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-0720-8
DOI :
10.1109/ICSMC.1992.271764
