Knowledge service method of cloud manufacturing based on uncertain rule reasoning
Aiming at the randomness and fuzziness of knowledge service,an uncertain multi-dimension and multi-rule reasoning method for knowledge service cloud mapping was presented.The cloud model of knowledge service was established based on requirements analysis of knowledge service.Through combining the service demand antecedent with the knowledge rule consequent,the transition process that the knowledge service from quantitative input to qualitative reasoning and then to quantitative output could be realized,the multi-dimensions and multi-rules reasoning was constructed on the basis of the mapping,and the reasoning algorithm was put forward.The distribution of uncertain mapping relation between service demand and knowledge resource was analyzed in the range space and certainty space in the case.The research result provided a novel approach for realizing the precise knowledge pushing of cloud manufacturing.
cloud manufacturingknowledge service cloud modeluncertain rules reasoningmapping transitionprecise pushing
NETL
NSTL
万方数据
维普
