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To effectively reduce the occurrence rate of axle faults of electric multiple units (EMUs), in this study, classical Apriori algorithm is improved based on Apache Hadoop big data and applied to prediction studies of axle faults of EMUs. First, for deficiencies of the classical Apriori algorithm, the improved Apriori algorithm that is constrained by business experience is proposed under the MapReduce...
In the real world, due to the fuzziness of market demand, shortage risks exist in inventory management. Based on the credibility theory, in this paper we propose a new measure method to deal with shortage risk for inventory through catering to managers with different risk preferences by setting a different service levels in fuzzy environment. Based on this new measure method, a new model on the order...
Program verification is an important task in software engineering. Abstraction plays a critical role in verifying infinite state systems by model checking. We present a novel method to automatically compute the abstract reachable state space of programs. An effective heuristic strategy is employed to find an abstract counter example, thus reducing the proof time for using theorem proving systems....
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