發(fā)布時(shí)間：2018-10-21 13:30

【摘要】：針對(duì)語(yǔ)言集結(jié)算子不能反映變量集結(jié)的離散程度問題,提出語(yǔ)言均值迭代算子.首先,通過定義證明該算子具有單調(diào)性、有界性和冪等性;然后,發(fā)現(xiàn)均值迭代算子在錨定集上的取值為一隨機(jī)變量,在錨定集上能夠測(cè)量算子集結(jié)的離散程度和集中程度;最后,在多準(zhǔn)則的實(shí)際應(yīng)用中,給出由均值迭代算子構(gòu)造的應(yīng)用公式和操作步驟.通過實(shí)例分析,說明了以往語(yǔ)言集結(jié)算子的局限性以及所提出算子的有效性.
[Abstract]:Aiming at the problem that the linguistic aggregation operator can not reflect the discrete degree of variable aggregation, a linguistic mean iteration operator is proposed. Firstly, it is proved by definition that the operator has monotonicity, boundedness and idempotent, then, it is found that the value of mean value iteration operator on anchor set is a random variable, and the discrete degree and concentration degree of operator aggregation can be measured on anchor set. Finally, in the practical application of the multi-criteria, the application formula and the operation steps constructed by the mean iterative operator are given. The limitations of the previous language aggregation operators and the effectiveness of the proposed operators are illustrated by an example.
【作者單位】： 遼寧工程技術(shù)大學(xué)公共管理與法學(xué)院;
【基金】：遼寧省教育廳基金項(xiàng)目(LJCR010) 遼工大第四批生產(chǎn)技術(shù)問題創(chuàng)新研究基金項(xiàng)目
【分類號(hào)】：O177

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本文編號(hào)：2285220