Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/62249
Title: Generalized fuzzy reasoning algorithm for an object-oriented expert system tool
Authors: Ong, Kenneth 
Wang, Qiu-He
Issue Date: Aug-1995
Source: Ong, Kenneth,Wang, Qiu-He (1995-08). Generalized fuzzy reasoning algorithm for an object-oriented expert system tool. Expert Systems 12 (3) : 199-207. ScholarBank@NUS Repository.
Abstract: A fuzzy reasoning algorithm is presented in this paper. It is based on the concept of a generalized fuzzy production rule that adds new conjunctions such as ADD and REL to the usual AND and OR conjunctions for the linkage of premises in conventional rules. A definition is given for weights and related factors, to express and measure a relation between the premises. A formal representation for fuzzy premises is presented, together with the introduction of a fuzzy match method. Multiple thresholds are used to convert the uncertainty measures of reasoning results into linguistic variables. We have applied the fuzzy reasoning algorithm to a frame-based hybrid expert system tool. An object-oriented approach is used in implementing the system. Some results of the application are presented and discussed.
Source Title: Expert Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/62249
ISSN: 02664720
Appears in Collections:Staff Publications

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