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- W1569322362 abstract "Preferences play an important role in our everyday lives. CP-networks, or CP-nets in short, are graphical models for representing conditional qualitative preferences under ceteris paribus (all else being equal) assumptions. Despite their intuitive nature and rich representation, dominance testing with CP-nets is computationally complex, even when the CP-nets are restricted to binary-valued preferences. Tractable algorithms exist for binary CP-nets, but these algorithms are incomplete for multi-valued CP-nets. In this paper, we identify a class of multi-valued CP-nets, which we call more-or-less CP-nets, that have the same computational complexity as binary CP-nets. More-or-less CP-nets exploit the monotonicity of the attribute values and use intervals to aggregate values that induce similar preferences. We then present a search control rule for dominance testing that effectively prunes the search space while preserving completeness." @default.
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- W1569322362 date "2007-07-19" @default.
- W1569322362 modified "2023-09-26" @default.
- W1569322362 title "More-or-less CP-networks" @default.
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