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factor weight in Chinese

Pronunciation:
How to pronounce "factor weight""factor weight" in a sentence

Translationmobile phoneMobile

  • 因數(shù)重量
  • 因素比重

Examples

  • The paper discusses some questions of multi - factor weighting in dam safety analysis
    本文針對(duì)大壩安全評(píng)價(jià)的多因素賦權(quán)問(wèn)題進(jìn)行了研究。
  • Through the determination of factor weight by using simple dependent function and the calculation of the dependent degree , objective and reasonable results are gained
    通過(guò)簡(jiǎn)單關(guān)聯(lián)函數(shù)確定權(quán)重及關(guān)聯(lián)度的計(jì)算,取得了客觀合理的評(píng)價(jià)結(jié)果。
  • Methods for calculating factor eigenvalues , membership functions , and factor weights were accomplished by using the principles and methods of fuzzy mathematics
    運(yùn)用模糊數(shù)學(xué)的理論和方法,建立了火災(zāi)綜合評(píng)估指標(biāo)特征值、隸屬函數(shù)及權(quán)重的確定方法。
  • The paper adopt afip to confirm the factors weights , adopting efficacy function and harmony degree model to estimate the sustainable degree , diagnosing the impediment factors , analyzing the impediment factors and bringing forward solutions
    結(jié)果表明武漢市城市土地可持續(xù)利用度處于較低水平,分析障礙因素并提出解決措施。
  • In the model , fuzzy analogy preferred relationship between feasible methods and the ideal one is determined , and the similar series in them in every affecting factor is given . determining their factor weights using the analytic hierarchy process ( ahp ) , the comprehensive similar series in them is carried out , and the most similar soft ground improvement method to ideal one is found out
    在該模型中,定義了模糊相似比,構(gòu)造了軟基處理方案影響因素的模糊相似優(yōu)先關(guān)系,利用層次分析法確定了各影響因素的權(quán)重,從整體上找出了與理想方案最為相似的軟基處理方案。
  • And use relative fitting error to measure statistical data non - uniform error ; then introduce the method systematically of using the fuzzy comprehensive evaluation method to carry on the overall superior test of the government statistical data quality . includes the establishment of step level appraisal target system , target weight determination , calculates the factor weight in various levels , uniform test of judgment matrix , and built up the final fuzzy comprehensive evaluation model of the government statistical data quality according to the above - mentioned standard ; finally selects the partial main social economy total quantity target from chinese statistics yearbook 2003 to carry on the real diagnosis analysis : ( 1 ) confirm these social economy total quantity targets using the description statistics and the k - s inspection method to obey the lognormal normal distribution . ( 2 ) according to the two levels of inspection methods which this article proposed to carry on accuracy and the overall superior test for these social economy total quantity targets
    本文首先從統(tǒng)計(jì)數(shù)據(jù)及質(zhì)量的涵義出發(fā),全面系統(tǒng)的介紹了統(tǒng)計(jì)數(shù)據(jù)質(zhì)量的概念;其次,從研究統(tǒng)計(jì)數(shù)據(jù)的分布規(guī)律入手,對(duì)統(tǒng)計(jì)數(shù)據(jù)準(zhǔn)確性檢驗(yàn)問(wèn)題進(jìn)行了探討,利用對(duì)數(shù)正態(tài)分布檢驗(yàn)對(duì)反映研究對(duì)象規(guī)模大小的統(tǒng)計(jì)數(shù)據(jù)的質(zhì)量及異常數(shù)據(jù)進(jìn)行定量檢查和識(shí)別,并利用相對(duì)擬合誤差計(jì)量統(tǒng)計(jì)數(shù)據(jù)的非一致性誤差;接著系統(tǒng)介紹了利用模糊綜合評(píng)價(jià)方法對(duì)政府統(tǒng)計(jì)數(shù)據(jù)質(zhì)量進(jìn)行整體優(yōu)度檢驗(yàn)的思路,具體包括建立遞階層次的評(píng)價(jià)指標(biāo)體系,指標(biāo)權(quán)重的確定,計(jì)算各層次中因素的權(quán)重,判斷矩陣的一致性檢驗(yàn),并根據(jù)上述標(biāo)準(zhǔn)建立了最終的政府統(tǒng)計(jì)數(shù)據(jù)質(zhì)量模糊綜合評(píng)價(jià)模型;然后通過(guò)從2003年中國(guó)統(tǒng)計(jì)年鑒資料中選取部分主要的社會(huì)經(jīng)濟(jì)總量指標(biāo)進(jìn)行實(shí)證分析: ( 1 )利用描述統(tǒng)計(jì)和k - s檢驗(yàn)法來(lái)驗(yàn)證這些社會(huì)經(jīng)濟(jì)總量指標(biāo)服從對(duì)數(shù)正態(tài)分布的規(guī)律; ( 2 )按照本文提出的二級(jí)檢驗(yàn)法來(lái)對(duì)這些社會(huì)經(jīng)濟(jì)總量指標(biāo)進(jìn)行準(zhǔn)確性和整體優(yōu)度檢驗(yàn),從而達(dá)到綜合評(píng)價(jià)政府統(tǒng)計(jì)數(shù)據(jù)質(zhì)量的目的;最后對(duì)這種二級(jí)檢驗(yàn)法的優(yōu)點(diǎn)和不足進(jìn)行小結(jié),提出今后應(yīng)該努力改進(jìn)的方向。
  • The method of ann based on example does not need to deal with internal structure of mathematic method , suppose premise , decide factor weight . ann model is simple because it maps integration of object . thesis forecasts forest resources of liancheng forest fields in gansu province by improved three - layer bp network
    人工神經(jīng)網(wǎng)絡(luò)方法是基于實(shí)例的方法,不需要考慮數(shù)學(xué)模型的內(nèi)部結(jié)構(gòu),不需要假設(shè)前提條件,不需要人為地確定因子權(quán)重,作為一個(gè)黑箱綜合地映射出研究對(duì)象的整體性,建模簡(jiǎn)單。

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