Expert systems, being human-oriented systems in their essence, suffer from a lack of an appropriate tool to cope with imprecision and uncertainty available in any process of knowledge acquisition. There is a general conceptual setting of fuzzy sets, especially the possibility theory in a context of knowledge processes existing in expert systems. Here we discuss technical background covering an inference mechanism realized by using fuzzy relation equations.
Using fuzzy relation equations in the construction of inference mechanisms in expert systems / A., Di Nola; W., Pedrycz; Sessa, Salvatore. - In: CYBERNETICS AND SYSTEMS. - ISSN 1087-6553. - STAMPA. - 18:1(1987), pp. 49-56. [10.1080/01969728708902127]
Using fuzzy relation equations in the construction of inference mechanisms in expert systems
SESSA, SALVATORE
1987
Abstract
Expert systems, being human-oriented systems in their essence, suffer from a lack of an appropriate tool to cope with imprecision and uncertainty available in any process of knowledge acquisition. There is a general conceptual setting of fuzzy sets, especially the possibility theory in a context of knowledge processes existing in expert systems. Here we discuss technical background covering an inference mechanism realized by using fuzzy relation equations.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


