Bucket elimination: a unifying framework for processing hard and soft constraints
This position paper argues that extending the CSP model to a richer set of tasks such as, constraint optimization, probabilistic inference and decision theoretic tasks can be done within a unifying framework called ‘‘bucket elimination’’. The framework allows uniform hybrids for combining elimination and conditioning guided by the problem's structure and for explicating the tradeoffs between space and time and between time and accuracy.
This paper systematically analyzes main factors affecting the decision of bracing system for deep foundation pits; establishes an index system of evaluation scheme and a multiobjective fuzzy optimum model of bracing schemes through fuzzy mathematical theory; and puts forward rational methods of the definiteness of objective weight and quantitating qualitative objects. A case study shows that the decision method is effective and easy to operate.