文件名称:A_Synthetic_Evaluation_fo_Antijamming_Ability_of_t
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摘要:实战条件下如何评价短波跳频通信系统的抗干扰性能是构建短波跳频通信系统的重要环rr-}J。由于不
能得到精确的指标评价值,采川组合赋权法给出了系统抗干扰性能的评价算法已经不能适川。给出了一种模糊综
合评价方法,该方法有如下优点:为避兔专家赋指标权值的卞观随意性,将德尔菲(Delphi)法和层次分析法(AHP)相结合来确定指标权值 为了便于专家较准确地作出评判,给出了指标评价等级,并利川模糊评价法给出指标评价矩
阵,最后得到评价结果。评价实例表明了该方法的有效性。
-Abstract: how to assess the actual conditions of short-wave frequency-hopping communication system anti-jamming performance is short-wave frequency-hopping communication system to build an important ring rr-) J. Can not be accurate due to evaluate the value of mining Kawasaki combination weighting approach gives a systematic evaluation of anti-interference performance can no longer be appropriate algorithm Chuan. This paper presents a fuzzy comprehensive evaluation method that has the following advantages: In order to avoid the rabbit experts give the right indicator of the value of randomness Bian concept will Delphi (Delphi) and Analytic Hierarchy Process (AHP) to determine the combination of the right indicators value in order to facilitate the experts to judge more accurately, are given to evaluate the grade and Lichuan fuzzy evaluation method is given to evaluate the matrix, final evaluation results. Examples show that the evaluation of the effectiveness of the method.
能得到精确的指标评价值,采川组合赋权法给出了系统抗干扰性能的评价算法已经不能适川。给出了一种模糊综
合评价方法,该方法有如下优点:为避兔专家赋指标权值的卞观随意性,将德尔菲(Delphi)法和层次分析法(AHP)相结合来确定指标权值 为了便于专家较准确地作出评判,给出了指标评价等级,并利川模糊评价法给出指标评价矩
阵,最后得到评价结果。评价实例表明了该方法的有效性。
-Abstract: how to assess the actual conditions of short-wave frequency-hopping communication system anti-jamming performance is short-wave frequency-hopping communication system to build an important ring rr-) J. Can not be accurate due to evaluate the value of mining Kawasaki combination weighting approach gives a systematic evaluation of anti-interference performance can no longer be appropriate algorithm Chuan. This paper presents a fuzzy comprehensive evaluation method that has the following advantages: In order to avoid the rabbit experts give the right indicator of the value of randomness Bian concept will Delphi (Delphi) and Analytic Hierarchy Process (AHP) to determine the combination of the right indicators value in order to facilitate the experts to judge more accurately, are given to evaluate the grade and Lichuan fuzzy evaluation method is given to evaluate the matrix, final evaluation results. Examples show that the evaluation of the effectiveness of the method.
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