In order to improve the accuracy and comprehensiveness of asphalt pavement performance evaluation, a evaluation model based on warm mixed recycled was proposed. Based indexes such as quality, damage, structure bearing capacity, skid resistance, rutting comprehensive performance, system established. According standard numerical characteristics index, subjection function is constructed. The trape...

 This paper present unequal-sized facilities layout solutions generated by a genetic search program named LADEGA (Layout Design using a Genetic Algorithm). The generalized quadratic assignment problem requiring pre-determined distance and material flow matrices as the input data and the continuous plane model employing a dynamic distance measure and a material flow matrix are discussed. Computa...

In this paper, a fuzzy quadratic minimum spanning tree problem is formulated as expected value model, chance-constrained programming and dependent-chance programming according to different decision criteria. Then the crisp equivalents are derived when the fuzzy costs are characterized by trapezoidal fuzzy numbers. Furthermore, a simulation-based genetic algorithm using Prüfer number representat...

Constraint-Based Inference (CBI) [1] is an umbrella term for various superficially different problems including probabilistic inference, decision-making under uncertainty, constraint satisfaction, propositional satisfiability, decoding problems, and possibility inference. In this project we explicitly use the semiring concept to generalize various CBI problems into a single formal representatio...

In this paper, we present a new method for ranking generalized trapezoidal fuzzy numbers (GTrFNs) based on Ochiai index and Hurwicz criterion. The proposed ranking method considers all types of decision makers’ perspective such as optimistic, neutral and pessimistic which is crucial in solving decision-making problems. The proposed method can discriminate the ranking result of GTrFNs having the...

Currently, there are numerous effective models for managing error propagation in data manipulation and analysis. But the method is still lack in handling spatial consistency. This paper focuses on the algorithms and models of error propagation for spatial consistency, investigating the basic types of spatial data inconsistency and the procedures for correcting them. Since the correction operati...

Minimality, a highly desirable consistency property of Constraint Satisfaction Problems (CSPs), is in general too expensive to enforce. Previous work has shown the practical benefits of restricting minimality to the clusters of a tree decomposition, allowing us to solve many difficult problems in a backtrack-free manner. We explore two alternative algorithms for enforcing minimality whose perfo...