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基于改進(jìn)模糊ISODATA法的評標(biāo)模型及其應(yīng)用

發(fā)布時(shí)間:2018-03-12 12:40

  本文選題:水利水電工程評標(biāo) 切入點(diǎn):改進(jìn)模糊ISODATA法 出處:《水電能源科學(xué)》2017年08期  論文類型:期刊論文


【摘要】:針對傳統(tǒng)綜合評標(biāo)法和模糊聚類模型的不足,提出一種基于改進(jìn)模糊ISODATA法的評標(biāo)模型。該模型考慮指標(biāo)權(quán)重對聚類的影響,引入模糊F統(tǒng)計(jì)量以確定合理分類,據(jù)此識別惡意打分專家,最后提出在棄除惡意評標(biāo)專家打分的情況下,以聚類權(quán)重確定專家權(quán)重的方法改進(jìn)傳統(tǒng)綜合評標(biāo)法中專家權(quán)重相等的不合理之處。算例計(jì)算結(jié)果表明,該模型有效、合理,具有重要的應(yīng)用參考價(jià)值。
[Abstract]:A bid evaluation model based on improved fuzzy ISODATA method is proposed to overcome the shortcomings of the traditional comprehensive bid evaluation method and fuzzy clustering model. This model takes into account the influence of index weight on clustering and introduces fuzzy F statistics to determine the reasonable classification. Based on this, the malicious scoring experts are identified. At last, it is proposed to improve the irrationality of equal expert weight in traditional comprehensive bid evaluation method by using clustering weight to determine expert weight under the condition of abandoning malicious bid evaluation expert scoring. The calculation results show that the calculation results show that the expert weight is equal in the traditional comprehensive bid evaluation method. The model is effective and reasonable and has important reference value.
【作者單位】: 河海大學(xué)水利水電學(xué)院;
【分類號】:TV51
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本文編號:1601611

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