發(fā)布時(shí)間：2018-05-09 00:20

  本文選題：證據(jù)理論 + 評(píng)估模型　； 參考：《南京航空航天大學(xué)》2014年碩士論文

【摘要】：隨著機(jī)場運(yùn)輸規(guī)模不斷擴(kuò)大，機(jī)場噪聲污染日益惡化，安裝機(jī)場噪聲監(jiān)測系統(tǒng)已成為眾多機(jī)場監(jiān)測周邊噪聲環(huán)境的重要手段。但是，這類監(jiān)測系統(tǒng)中的固定監(jiān)測點(diǎn)成本高、環(huán)境要求高、穩(wěn)定性差，加之機(jī)場噪聲的監(jiān)測數(shù)據(jù)中夾雜有航空器之外的其他噪聲源產(chǎn)生的環(huán)境噪聲（如風(fēng)噪、施工噪聲等）數(shù)據(jù)，因此評(píng)估各監(jiān)測點(diǎn)所監(jiān)測到的噪聲數(shù)據(jù)的可信度就變得尤為重要。 本文在充分分析機(jī)場噪聲監(jiān)測數(shù)據(jù)特點(diǎn)的基礎(chǔ)上，提出一種基于證據(jù)理論的機(jī)場噪聲監(jiān)測數(shù)據(jù)可信度評(píng)估模型。該模型利用數(shù)據(jù)挖掘的方法生成監(jiān)測點(diǎn)間噪聲數(shù)據(jù)的關(guān)聯(lián)規(guī)則，然后利用關(guān)聯(lián)規(guī)則進(jìn)行基本概率賦值函數(shù)的獲取，將獲得的證據(jù)用Dempster組合規(guī)則進(jìn)行融合并作出最終的決策。 針對(duì)Dempster組合規(guī)則在沖突證據(jù)融合方面的缺陷，在充分研究了沖突證據(jù)度量標(biāo)準(zhǔn)的基礎(chǔ)上，本文提出使用pignistic概率函數(shù)來衡量證據(jù)之間的沖突程度，，并在此基礎(chǔ)上構(gòu)建了偽證據(jù)識(shí)別方法和沖突證據(jù)融合方法。將這些方法應(yīng)用于機(jī)場噪聲監(jiān)測數(shù)據(jù)可信度評(píng)估模型中，使該模型在有沖突證據(jù)的情況下不但能識(shí)別出沖突證據(jù)，還能利用改進(jìn)的合成方法得到正確的融合結(jié)果。 實(shí)驗(yàn)表明本文提出的偽證據(jù)識(shí)別方法和沖突證據(jù)融合方法能有效地在機(jī)場噪聲監(jiān)測數(shù)據(jù)中得到較好的效果，同時(shí)改進(jìn)的評(píng)估模型應(yīng)用在真實(shí)的機(jī)場噪聲監(jiān)測數(shù)據(jù)中具有較好的準(zhǔn)確性和實(shí)用性。
[Abstract]:With the expansion of airport transportation scale and the worsening of airport noise pollution, the installation of airport noise monitoring system has become an important means to monitor the surrounding noise environment of many airports. However, the fixed monitoring points in this type of monitoring system have high cost, high environmental requirements, poor stability and environmental noise (such as wind noise) caused by noise sources other than aircraft in the monitoring data of airport noise. Therefore, it is very important to evaluate the reliability of the noise data from the monitoring points. Based on the analysis of the characteristics of airport noise monitoring data, a reliability evaluation model of airport noise monitoring data based on evidence theory is proposed in this paper. The model uses the method of data mining to generate the association rules of noise data between monitoring points, and then uses the association rules to obtain the basic probability assignment function. The obtained evidence is fused with the Dempster combination rule and the final decision is made. Aiming at the defect of Dempster combination rule in conflict evidence fusion, this paper proposes to use pignistic probability function to measure the conflict degree of evidence. On this basis, the pseudo-evidence recognition method and conflict evidence fusion method are constructed. These methods are applied to the reliability evaluation model of airport noise monitoring data. The model can not only identify the conflicting evidence but also obtain the correct fusion results by using the improved synthesis method. The experimental results show that the methods of pseudo-evidence recognition and conflict evidence fusion proposed in this paper can effectively obtain good results in airport noise monitoring data. At the same time, the improved evaluation model has good accuracy and practicability in real airport noise monitoring data.
【學(xué)位授予單位】：南京航空航天大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：X839.1;TB53

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本文編號(hào)：1863738