Query Optimization Properties of Modified VBS
This work addresses query optimization for VBS users, but it appears incremental as it builds on existing VBS frameworks without demonstrating broad impact.
The paper tackles the problem of optimizing queries within Valuation-Based Systems (VBS) by presenting Markov-like properties and a resolution method, but it does not provide concrete numerical results.
Valuation-Based~System can represent knowledge in different domains including probability theory, Dempster-Shafer theory and possibility theory. More recent studies show that the framework of VBS is also appropriate for representing and solving Bayesian decision problems and optimization problems. In this paper after introducing the valuation based system (VBS) framework, we present Markov-like properties of VBS and a method for resolving queries to VBS.