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題 名 | 模糊派翠網路模擬法則式推理=Fuzzy Petri Nets for Modeling Fuzzy Reasoning |
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作 者 | 劉豐瑞; 李允中; 蔣偉寧; | 書刊名 | 模糊系統學刊 |
卷 期 | 4:2 1998.12[民87.12] |
頁 次 | 頁75-88 |
分類號 | 400.24 |
關鍵詞 | 模糊派翠網路; 模糊推理; 不確定性; 不精確性; 專家系統; Fuzzy Petri Nets; Fuzzy reasoning; Uncertainty; Imperecision; Expert systems; |
語 文 | 中文(Chinese) |
中文摘要 | 本文將我們提出的模糊派翠網路與其演算法 [11] ,與專家系統結合並實作成模 糊派翠網路專家系統 - Fuzzy Petri Nets Based Expert System( FPNES )。模楜派翠網 路之專家系統架構有四大部份:模糊派翠網路系統( Fuzzy Petri Net System,FPNS )、 使用者介面( user interface )、 轉換引擎( transformation engine )、 知識庫( knowledge base )。 我們提出的模糊派翠網路是採用了派翠網路的一個子分類 - marked graph,來避免在模擬的過程中派翠網路內 conflict 的問題 [11]。此模糊派翠網路用以模 擬我們為了同時處理專家系統內的不確定性與不精確性而提出的模糊法則式推理 [10]: 此 模糊法則式推理是一個融合可能性推理與模糊推理的綜合性推理方法。在模糊法則式推理機 制內, 三個主要構件為模糊命題( fuzzy Proposition )、 真值評定的模糊法則( truth qualified fuzzy fact ),可被模擬為模糊 place,不確定transition 與不確定的 模糊 token。不確定的 transition,被分成四種型態:推理 transition 整合 transition , 複製 transition 與整合複製 transition。我們根據模糊派翠網路提出推理演算法, 可改善模糊法則式推理機制的效率。此推理演算法不僅符合法則式推理的原則,原派翠網路 的執行方式亦受到保持。 |
英文摘要 | In this paper, a fuzzy Petri net based expert systems is proposed to integrate fuzzy Petri nets and expert systems. Fuzzy Petri nets is used to model fuzzy rule-based reasoning which brings together the possibilistic entailment and the fuzzy reasoning to handle uncertain and imprecise information. The three key components in our fuzzy rule-based reasoning: fuzzy propositions, truth-qualified fuzzy rules, and truth-qualified fuzzy facts, can be formulated as fuzzy places, nucertain transitions, and uncertain fuzzy tokens, respectively. Four types of uncertain transitions, inference, aggregation, duplication and aggregation-duplication transitions, are introduced to fulfill the mechanism of fuzzy rule-based reasoning. A reasoning algorithm based on fuzzy Peri nets is also presented to improve the efficiency of fuzzy rule-based reasoning. The reasoning algorithm is consistent with not only the rule-based reasoning but also the execution of Petri nets. |
本系統中英文摘要資訊取自各篇刊載內容。