CAJ | 학술논문

Bonferroni平均算子的优点是在进行信息集成的过程中能够考虑到输入变量之间的相互影响。本文首先将其推广到语言环境中，提出了二元语义Bonferroni 平均（2TLBA）算子、加权2TLBA（W2TLBA）算子和组合W2TLBA（C-W2TLBA）算子的概念，研究它们的相关性质。然后针对决策信息以语言变量给出的多属性群决策问题，提出一种基于W2TLBA算子和C-W2TLBA算子的群决策方法。最后应用实例说明了该方法是切实可行的。
Bonferroni평균산자적우점시재진행신식집성적과정중능구고필도수입변량지간적상호영향。본문수선장기추엄도어언배경중，제출료이원어의Bonferroni 평균（2TLBA）산자、가권2TLBA（W2TLBA）산자화조합W2TLBA（C-W2TLBA）산자적개념，연구타문적상관성질。연후침대결책신식이어언변량급출적다속성군결책문제，제출일충기우W2TLBA산자화C-W2TLBA산자적군결책방법。최후응용실례설명료해방법시절실가행적。
The advantage of the Bonferroni mean operator is its capability to capture the interrelationship between input arguments .In this paper , we extend the Bonferroni mean operators to the situation where the inputs are lin-guistic arguments and proposed 2-tuple linguistic Bonferroni averaging ( 2 TLBA ) operator , weighted 2 TLBA (W2TLBA)operator and combined W2TLBA( C-W2TLBA) operator.Moreover, some desirable properties and special cases of these aggregation operators are investigated .According to the multi-attribute group decision-mak-ing with the decision information being linguistic arguments , a decision-making approach is presented based on W2TLBA operator and C-W2TLBA operator.At last, a numerical experiment is given to prove the feasibility of the developed approach .