Browsing by Author "Jong, WT"

Now showing 1 - 4 of 4

A Petri net model for temporal knowledge representation and reasoning - Comment
(1997-02-01)
Chen, SM
;
Jong, WT
;
資訊工程學系
;
Department of Computer Science
In the above paper(1), Yao has presented a unified time Petri net model (TPN) for temporal knowledge representation and reasoning, where the TPN model presented has a good contribution in the aspect of temporal knowledge representation and reasoning, However, there are a number of errors which should be corrected. The purpose of this paper is to identify these errors, and the corrections provided permit the readers who have been confused by the errors to gain a better understanding of the good ideas presented.
A Petri net model for temporal knowledge representation and reasoning - Comment
(1997-02-01)
Chen, SM
;
Jong, WT
;
交大名義發表
;
資訊工程學系
;
National Chiao Tung University
In the above paper(1), Yao has presented a unified time Petri net model (TPN) for temporal knowledge representation and reasoning, where the TPN model presented has a good contribution in the aspect of temporal knowledge representation and reasoning, However, there are a number of errors which should be corrected. The purpose of this paper is to identify these errors, and the corrections provided permit the readers who have been confused by the errors to gain a better understanding of the good ideas presented.
Bidirectional approximate reasoning based on interval-valued fuzzy sets
(1997-11-01)
Chen, SM
;
Hsiao, WH
;
Jong, WT
;
交大名義發表
;
資訊工程學系
This paper proposes a bidirectional approximate reasoning method based on interval-valued fuzzy sets, where fuzzy production rules are used for knowledge representation, and the fuzzy terms appearing in the fuzzy production rules of a rule-based system are represented by interval-valued fuzzy sets. The proposed method is more flexible than the one presented in the paper by Bien and Chun [IEEE Trans. Fuzzy Systems 2 (1994) 177] due to the fact that it allows the fuzzy terms appearing in the fuzzy production rules of a rule-based system to be represented by interval-valued fuzzy sets rather than general fuzzy sets. Furthermore, because the proposed method requires only simple arithmetic operations, and because it allows bidirectional approximate reasoning, it can be executed much faster and more flexible than the single-input-single-output approximate reasoning scheme presented in the paper by Gorzalczany [Fuzzy Sets and Systems 21 (1987) 1]. (C) 1997 Elsevier Science B.V.
Temporal knowledge representation and reasoning techniques using time Petri nets
(1999-08-01)
Jong, WT
;
Shiau, YS
;
Horng, YJ
;
Chen, HH
;
Chen, SM
In this paper, we present temporal knowledge representation and reasoning techniques using time Petri nets. A method is also proposed to check the consistency of the temporal knowledge. The proposed method can overcome the drawback of the one presented in [16]. It provides a useful way to check the consistency of the temporal knowledge.