DocumentCode :
2688500
Title :
Rule based fuzzy logic inferencing
Author :
Yu, Yiming ; Fowler, Eddie R.
Author_Institution :
Allied-Signal Gen. Aviation Avionics, Olathe, KS, USA
Volume :
1
fYear :
1994
fDate :
2-5 Oct 1994
Firstpage :
465
Abstract :
This paper presents a new method of rule based fuzzy logic inferencing solely based on a many-valued logic, Lukasiewicz many-valued logic. Fuzzy logic can be considered as an extended set many-valued logic. Many-valued logic is extended from two-valued logic but differs from it in that each has different sets of primitives. The authors believe that fuzzy logic should be solely based on many-valued logic. In this paper, an implication connective of Lukasiewicz many-valued logic is proposed to be a basis of the conditional proposition in a new fuzzy logic inferencing method. Corresponding to this implication connective, a max-δ composition is derived from Lukasiewicz many-valued logic and it is shown to fit human intuition. The advantage of the new fuzzy logic inferencing, over other fuzzy logic inferencing, is that it provides a solid theoretical basis for further study of its inferencing behavior when used in a certain application, such as in a fuzzy controller. An example, using machine vision to detect surface flaws of machined parts, is given
Keywords :
automatic optical inspection; computer vision; fuzzy logic; inference mechanisms; knowledge based systems; multivalued logic; uncertainty handling; Lukasiewicz many-valued logic; machine vision; primitives; rule based fuzzy logic inferencing; Aerospace electronics; Equations; Fuzzy control; Fuzzy logic; Fuzzy sets; Humans; Intelligent systems; Multivalued logic; Solids; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-2129-4
Type :
conf
DOI :
10.1109/ICSMC.1994.399883
Filename :
399883
Link To Document :
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