基于證據(jù)理論的綜合評價定性指標(biāo)測度優(yōu)化研究
發(fā)布時間:2019-05-31 15:43
【摘要】:綜合評價定性指標(biāo)測度以評價者偏好為重要依據(jù)。圍繞群體綜合評價定性指標(biāo)測度中,個體評價者偏好測度不充分與實踐指導(dǎo)性不足以及群體偏好集成的個體權(quán)重難以確定等問題,提出一種基于證據(jù)理論的定性指標(biāo)測度優(yōu)化方法。首先,構(gòu)建基于證據(jù)理論的偏好信息分布測度思路,利用以有效子集為基礎(chǔ)的半可加離散分布,統(tǒng)一測度評價者各類型偏好選擇及其信度。其次,利用迭代方法從重要性和可靠性兩個方面,求解基于主客觀信息的個體權(quán)重,并提出一種相適應(yīng)的群體分布偏好集成方法。上述方法通過提高個體偏好信息測度與集成的充分性及實踐指導(dǎo)性,實現(xiàn)優(yōu)化綜合評價定性指標(biāo)測度的目標(biāo)。最后,通過實例驗證方法的有效性。
[Abstract]:The comprehensive evaluation qualitative index measure is based on the evaluator's preference. In the qualitative index measurement of group comprehensive evaluation, the insufficient preference measure and practical guidance of individual evaluators, as well as the difficulty of determining the individual weight of the integration of group preference, and so on. A qualitative index measure optimization method based on evidence theory is proposed. Firstly, the idea of measuring preference information distribution based on evidence theory is constructed, and the semi-additive discrete distribution based on effective subset is used to unify the preference selection and reliability of each type of evaluator. Secondly, the iterative method is used to solve the individual weight based on subjective and objective information from two aspects of importance and reliability, and a suitable integration method of group distribution preference is proposed. By improving the adequacy and practical guidance of individual preference information measurement and integration, the above methods achieve the goal of optimizing the qualitative index measurement of comprehensive evaluation. Finally, an example is given to verify the effectiveness of the method.
【作者單位】: 河南大學(xué)經(jīng)濟(jì)學(xué)院;
【基金】:國家社會科學(xué)基金項目《中國稅收改革政策宏觀效果的統(tǒng)計測度與評價研究》(15BTJ010) 全國統(tǒng)計科學(xué)研究項目《中國經(jīng)濟(jì)政策不確定性的波動特征與宏觀效應(yīng)研究:統(tǒng)計測度與數(shù)值模擬》(2016LY01) 新型城鎮(zhèn)化與中原經(jīng)濟(jì)區(qū)建設(shè)河南省協(xié)同創(chuàng)新中心資助項目
【分類號】:C81
,
本文編號:2489819
[Abstract]:The comprehensive evaluation qualitative index measure is based on the evaluator's preference. In the qualitative index measurement of group comprehensive evaluation, the insufficient preference measure and practical guidance of individual evaluators, as well as the difficulty of determining the individual weight of the integration of group preference, and so on. A qualitative index measure optimization method based on evidence theory is proposed. Firstly, the idea of measuring preference information distribution based on evidence theory is constructed, and the semi-additive discrete distribution based on effective subset is used to unify the preference selection and reliability of each type of evaluator. Secondly, the iterative method is used to solve the individual weight based on subjective and objective information from two aspects of importance and reliability, and a suitable integration method of group distribution preference is proposed. By improving the adequacy and practical guidance of individual preference information measurement and integration, the above methods achieve the goal of optimizing the qualitative index measurement of comprehensive evaluation. Finally, an example is given to verify the effectiveness of the method.
【作者單位】: 河南大學(xué)經(jīng)濟(jì)學(xué)院;
【基金】:國家社會科學(xué)基金項目《中國稅收改革政策宏觀效果的統(tǒng)計測度與評價研究》(15BTJ010) 全國統(tǒng)計科學(xué)研究項目《中國經(jīng)濟(jì)政策不確定性的波動特征與宏觀效應(yīng)研究:統(tǒng)計測度與數(shù)值模擬》(2016LY01) 新型城鎮(zhèn)化與中原經(jīng)濟(jì)區(qū)建設(shè)河南省協(xié)同創(chuàng)新中心資助項目
【分類號】:C81
,
本文編號:2489819
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