Service supplier selection is the most important problem in the process of service outsourcing. Aiming at the fuzziness of supplier evaluation index and subjectivity of decision-making process, a decision method for service supplier selection based on Choquet integral and generalized evidence theory is proposed. First, the fuzziness and uncertainty of information in decision-making process are solved by using interval rough number. The importance degree acquisition method of attribute index is corrected, and the relative weight and absolute weight of attribute index are obtained. Second, considering the interaction between attribute indexes, n-additive Choquet integral model is used to evaluate the service suppliers. According to the characteristics of service suppliers, the decision index system is proposed that is made up of different target variables, and the selection evaluation model of service supplier is established. Then, in order to eliminate the differences and conflicts of the expert evaluation opinions, the generalized evidence theory group decision-making method is introduced, and the expert evaluation opinions are fused so as to obtain the final result. Finally, a case study is provided to verify the validity and feasibility of the proposed method.

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In the evaluation process of product service system (PSS) scheme, different evaluation indexes such as function, cost, quality, and resource guarantee capability need to be comprehensively considered, and there are ambiguities and uncertainties in the evaluation process. How to evaluate and select the PSS alternative schemes objectively and rationally has important practical significance for the subsequent stages and implementation of the PSS schemes. Therefore, a new PSS scheme evaluation method based on variable granularity weight and group decision-making is proposed. First, to solve the fuzziness and uncertainty of information, the interval rough number is adopted in the evaluation of PSS scheme, and the method of obtaining the relative weight and absolute weight of the attribute index is revised. Secondly, an n-additive Choquet integral model is constructed to eliminate the interaction between attribute indexes, a PSS scheme evaluation index system composed of different target variables is proposed, and a PSS scheme evaluation model is established. Then, the generalized evidential reasoning group decision-making method is used to effectively integrate the evaluation opinions of experts, obtain the evaluation results of the PSS scheme, and select the best from them. Finally, the proposed method is verified by taking the PSS scheme evaluation of the NC machine tool as an example.

In this paper, a novel and efficient Dempster-Shafer (D-S) evidence theory multi-node spectrum sensing based on double threshold judgment is proposed. A specific coordinate operation of D-S theory and double threshold judgment is discussed. It defines the uncertain area in double threshold detection, controls the application range of D-S theory and obtains the final detection results by drawing a clear line between data decision and information fusion. A better performance and higher sensing efficiency in a low signal-to-noise ratio is resulted according to the simulations.