Summary:
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'''Valuation-based system''' (VBS) is a framework for [[knowledge representation]] and inference. Real-world problems are modeled in this framework by a network of interrelated entities, called variables. The relationships between variables (possibly uncertain or imprecise) are represented by the functions called valuations. The two basic operations for performing inference in a VBS are combination and marginalization. Combination corresponds to the aggregation of knowledge, while marginalization refers to the focusing (coarsening) of it. VBSs were introduced by Prakash P. [[Shenoy]] in 1989 as general frameworks for managing uncertainty in [[expert system]]s.
==Applications==
VBS are used for knowledge representation in expert systems and data fusion.
{{GFDL}}
'''Valuation-based system''' (VBS) is a framework for [[knowledge representation]] and inference. Real-world problems are modeled in this framework by a network of interrelated entities, called variables. The relationships between variables (possibly uncertain or imprecise) are represented by the functions called valuations. The two basic operations for performing inference in a VBS are combination and marginalization. Combination corresponds to the aggregation of knowledge, while marginalization refers to the focusing (coarsening) of it. VBSs were introduced by Prakash P. [[Shenoy]] in 1989 as general frameworks for managing uncertainty in [[expert system]]s.
==Applications==
VBS are used for knowledge representation in expert systems and data fusion.
{{GFDL}}