A possibilistic handling of partially ordered information
  In a standard possibilistic logic, prioritized information are encoded by
means of weighted knowledge base. This paper proposes an extension of
possibilistic logic for dealing with partially ordered information. We Show
that all basic notions of standard possibilitic logic (sumbsumption, syntactic
and semantic inference, etc.) have natural couterparts when dealing with
partially ordered information. We also propose an algorithm which computes
possibilistic conclusions of a partial knowledge base of a partially ordered
knowlege base.
