The Evaluation Method of Capability Requirement Satisfactory Degree for Intelligence Support System-of-Systems
To solve the probl em of inaccurate evaluation caused by randomness and fuzziness of data in the evaluation of capability requirement satisfactory degree for intelligence support system-of-Systems,the cloud model is introduced to transform data uncertainty into accurate qualitative concept.The evaluation index set of intelligence support system capability is constructed,the hierarchical architecture based on the set applies the attribute hierarchy model to distribute the evaluation index weight,technique for order preference by similarity to an ideal solution(TOPSIS)of improved Euclidean distance is proposed,the calculation formulas of positive distance and negative distance are defined,the requirement satisfactory degree of system capability and each performance can be obtained.Finally,the correctness of the proposed method is verified from the effectiveness of the evaluation model and the accuracy of the trend of the evaluation results by quantifying simulation examples.
capability of system-of-systemsTOPSIScloud modelrequirement satisfactory degree
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