Abstract / Description of output
Interval-based possibilistic logic is a flexible setting extending standard possibilistic logic such that each logical expression is associated with a sub-interval of [0, 1]. This paper focuses on the fundamental issue of conditioning in the interval-based possibilistic setting. The first part of the paper first proposes a set of natural properties that an interval-based conditioning operator should satisfy. We then give a natural and safe definition for conditioning an interval-based possibility distribution. This definition is based on applying standard min-based or product-based conditioning on the set of all associated compatible possibility distributions. The second part of the paper provides an equivalent syntactic computation of interval-based conditioning when interval-based distributions are compactly encoded by means of interval-based possibilistic knowledge bases. We show that interval based conditioning is achieved without extra computational cost comparing to conditioning standard possibilistic knowledge bases.
Original language | English |
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Title of host publication | 24th Conference on Fuzzy Logic and its Applications (LFA 2015) |
Place of Publication | Futuroscope, Poitiers, France |
Number of pages | 8 |
Publication status | Published - 2015 |
Event | 24th Conference on Fuzzy Logic and its Applications - Poitiers, France Duration: 5 Nov 2015 → 6 Nov 2015 https://lfa2015.ensma.fr/ |
Conference
Conference | 24th Conference on Fuzzy Logic and its Applications |
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Abbreviated title | LFA 2015 |
Country/Territory | France |
City | Poitiers |
Period | 5/11/15 → 6/11/15 |
Internet address |