Spaceflight measurement and control resource scheduling efficiency evaluation method based on graduatory fuzzy set
A technology for aerospace measurement and control and resource scheduling, applied in the field of aerospace scheduling efficiency, can solve problems such as discrepancies in evaluation results, inability to express hesitant states, and constraints on expressing and processing uncertain information, achieving reasonable and accurate evaluation, good engineering applicability, and application scope. expansive effect
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Embodiment 1
[0095] This embodiment provides a Pythagorean fuzzy set theory-based method for evaluating the efficiency of spaceflight measurement and control resource scheduling, the method comprising:
[0096] S01, select the evaluation index of spaceflight measurement and control resource dispatching efficiency, construct the evaluation index system, and establish the factor set;
[0097] S02, grading according to the preset judgment results, and establishing a judgment set;
[0098] S03, establishing a weight set according to the importance of the evaluation index;
[0099] Table 2 lists the judgment matrix G given by the 1-9 scaling method, and the consistency test is performed on it to obtain CR=0.0246<0.1, that is, the consistency level of the judgment matrix G meets the requirements, and the eigenvalue method is used for it Solve to get the weight set as:
[0100] W = {0.1717, 0.0355, 0.0624, 0.4189, 0.1048, 0.0450, 0.0612, 0.1005}.
[0101] Table 2 Judgment matrix
[0102]
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Embodiment 2
[0126] The main difference between this embodiment and the preferred embodiment one is that the evaluation question type is multi-object evaluation.
[0127] The implementation steps of S01-S04 are completely the same as those of the first preferred embodiment above.
[0128] S05, according to the Pythagorean fuzzy value determination method, respectively determine the membership evaluation matrix, the non-membership evaluation matrix and the hesitation evaluation matrix;
[0129] Table 7 lists the index values of the three input evaluation objects, and the three evaluation objects are denoted as A 1 , A 2 , A 3 . According to the determination method of Pythagorean fuzzy evaluation value, the membership evaluation matrix, non-membership evaluation matrix and hesitation evaluation matrix of the three evaluation objects are calculated and determined respectively, as follows:
[0130]
[0131]
[0132]
[0133]
[0134] Table 7 Index values of the three evalu...
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