Modeling uncertain reasoning with possibilistic Petri nets

Jonathan Lee, Kevin F.R. Liu, Weiling Chiang

研究成果: 會議貢獻類型會議論文同行評審

摘要

A possibilistic Petri nets model (PPN) is proposed to imitate possibilistic reasoning. A possibilistic token carries information to describe an object and its corresponding possibility and necessity measures. Possibilistic transitions are classified into four types: inference transitions perform possibilistic reasoning; duplication transitions duplicate a possibilistic token to several tokens representing the same proposition and possibility and necessity measures; aggregation transitions combine several possibilistic tokens with the same classical proposition; and aggregation-duplication transitions combine aggregation transitions and duplication transitions.

原文???core.languages.en_GB???
頁面1517-1522
頁數6
出版狀態已出版 - 2001
事件Joint 9th IFSA World Congress and 20th NAFIPS International Conference - Vancouver, BC, Canada
持續時間: 25 7月 200128 7月 2001

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???event.eventtypes.event.conference???Joint 9th IFSA World Congress and 20th NAFIPS International Conference
國家/地區Canada
城市Vancouver, BC
期間25/07/0128/07/01

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