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Interval propagation to reason about sets: Definition and implementation of a practical language

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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NP-completeness of the set unification and matching problems
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Short overview of the CLPS system
inferredcites →https://doi.org/10.1007/3-540-55844-6_141openalex-snapshot
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inferredcites →https://doi.org/10.1007/3-540-59155-9_1openalex-snapshot
Interval constraint logic programming
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A Compendium of Continuous Lattices
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Foundations of Logic Programming
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Foundations of Logic Programming
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Membership-Constraints and Complexity in Logic Programming with Sets
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Rough Sets
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A new data structure for implementing extensions to Prolog
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Consistency in networks of relations
inferredcites →https://doi.org/10.1016/0004-3702(78)90029-2openalex-snapshot
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The complexity of some polynomial network consistency algorithms for constraint satisfaction problems
inferredcites →https://doi.org/10.1016/0004-3702(92)90020-xopenalex-snapshot
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inferredcites →https://doi.org/10.1016/0743-1066(90)90052-7openalex-snapshot
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inferredcites →https://doi.org/10.1016/0743-1066(91)90036-oopenalex-snapshot
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inferredcites →https://doi.org/10.1016/0743-1066(92)90040-aopenalex-snapshot
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inferredcites →https://doi.org/10.1016/0743-1066(93)90045-iopenalex-snapshot
Interval computation as deduction in chip
inferredcites →https://doi.org/10.1016/0743-1066(94)90033-7openalex-snapshot
Constraint logic programming: a survey
inferredcites →https://doi.org/10.1016/0895-7177(94)90127-9openalex-snapshot
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inferredcites →https://doi.org/10.22028/d291-36868openalex-snapshot
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Combinatorial Optimization: Algorithms and Complexity.
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Theory of Linear and Integer Programming
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Compiling Intensional Sets in CLP

What points at this work

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A cost-effective programmable environment for developing environmental decision support systems1This research is done under the support of TRACE INCO-COPERNICUS Project CP-960138, funded by the European Union within the ESPRIT programme.1
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Compiling Intensional Sets in CLP
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