天堂国产午夜亚洲专区-少妇人妻综合久久蜜臀-国产成人户外露出视频在线-国产91传媒一区二区三区

基于偏好不一致熵的有序決策

發(fā)布時(shí)間:2018-06-10 18:36

  本文選題:有序決策 + 偏好不一致熵; 參考:《計(jì)算機(jī)應(yīng)用》2017年03期


【摘要】:針對(duì)多規(guī)則有序決策系統(tǒng)中的偏好決策問題,根據(jù)有序決策的偏好不一致特性,提出了一種基于偏好不一致熵的偏好決策方法。首先,定義了樣本的偏好不一致熵(PIEO),用來度量特定樣本相對(duì)于樣本集的偏好不一致程度;然后,根據(jù)偏好決策中不同屬性對(duì)決策的重要性不同的特點(diǎn),提出了一種加權(quán)的樣本偏好不一致熵,并結(jié)合屬性偏好不一致熵在度量屬性重要性方面的能力,給出了一種基于屬性偏好不一致熵的權(quán)值的計(jì)算方法;最后,提出了一種基于樣本偏好不一致熵的偏好決策算法。采用Pasture Production和Squalsh兩個(gè)數(shù)據(jù)集進(jìn)行仿真實(shí)驗(yàn),基于全局偏好不一致熵分類后,各屬性的偏好不一致熵普遍比基于向上和向下偏好不一致熵分類后的熵值小,而且更接近原始決策的偏好不一致熵,這說明基于全局偏好不一致熵的分類比其他兩種情況的分類效果好。分類偏離度最小低至0.128 2,這說明分類的結(jié)果比較接近原始決策。
[Abstract]:In order to solve the preference decision problem in multi-rule ordered decision system, a preference decision making method based on preference inconsistent entropy is proposed according to the preference inconsistency of ordered decision. Firstly, the preference inconsistency entropy of samples is defined to measure the degree of preference inconsistency relative to the sample set, and then, according to the characteristics of the importance of different attributes in preference decision, In this paper, a weighted sample preference inconsistent entropy is proposed, and combining the ability of attribute preference inconsistent entropy to measure attribute importance, a weight calculation method based on attribute preference inconsistent entropy is presented. A preference decision algorithm based on sample preference inconsistent entropy is proposed. By using two data sets, Pasture production and Squalsh, the entropy of preference inconsistency is generally smaller than that based on upward and downward preference inconsistency entropy classification based on global preference inconsistent entropy classification. Moreover, it is closer to the preference inconsistent entropy of the original decision, which shows that the classification based on the global preference inconsistent entropy is better than the other two cases. The minimum deviation of classification is as low as 0.128 2, which indicates that the classification results are close to the original decision.
【作者單位】: 電子科技大學(xué)信息與軟件工程學(xué)院;西華師范大學(xué)計(jì)算機(jī)學(xué)院;
【基金】:四川省教育廳自然科學(xué)基金重點(diǎn)資助項(xiàng)目(12ZA178) 四川省重大項(xiàng)目支撐計(jì)劃項(xiàng)目(2015GZ0102) 四川省可視計(jì)算和虛擬現(xiàn)實(shí)重點(diǎn)實(shí)驗(yàn)室建設(shè)基金資助項(xiàng)目(KJ201406)~~
【分類號(hào)】:O225

【相似文獻(xiàn)】

相關(guān)碩士學(xué)位論文 前1條

1 劉牛;基于加權(quán)的AUC方法評(píng)估優(yōu)化[D];安徽工業(yè)大學(xué);2011年



本文編號(hào):2004200

資料下載
論文發(fā)表

本文鏈接:http://sikaile.net/kejilunwen/yysx/2004200.html


Copyright(c)文論論文網(wǎng)All Rights Reserved | 網(wǎng)站地圖 |

版權(quán)申明:資料由用戶f902b***提供,本站僅收錄摘要或目錄,作者需要?jiǎng)h除請(qǐng)E-mail郵箱bigeng88@qq.com