本文選題：直覺(jué)模糊數(shù)　切入點(diǎn)：運(yùn)算法則　出處：《科技管理研究》2008年08期

【摘要】：針對(duì)權(quán)重信息不完全且對(duì)方案的偏好值和屬性值均為直覺(jué)數(shù)多屬性決策問(wèn)題,首先引入了直覺(jué)模糊數(shù)的一些運(yùn)算法則、直覺(jué)模糊數(shù)的得分函數(shù)和精確函數(shù)。然后對(duì)權(quán)重信息不完全且對(duì)方案的偏好值和屬性值均為直覺(jué)模糊數(shù)的多屬性決策方法進(jìn)行了研究,給出了一個(gè)基于最小偏差的目標(biāo)規(guī)劃模型,從而獲得相應(yīng)的屬性權(quán)重,基于直覺(jué)模糊加權(quán)算術(shù)平均(IFWAA)算子對(duì)直覺(jué)模糊數(shù)信息進(jìn)行集結(jié),進(jìn)而根據(jù)得分函數(shù)和精確函數(shù)對(duì)方案進(jìn)行排序。最后,進(jìn)行了實(shí)例分析,說(shuō)明了該方法的實(shí)用性和有效性。
[Abstract]:Aiming at the problem that the weight information is incomplete and the preference value and attribute value of the scheme are intuitionistic number multi-attribute decision making, we first introduce some algorithms of intuitionistic fuzzy number, the score function and exact function of intuitionistic fuzzy number.Then, the method of multi-attribute decision making with incomplete weight information and intuitionistic fuzzy number of preference value and attribute value is studied, and a goal programming model based on minimum deviation is given, and the corresponding attribute weight is obtained.Based on the intuitionistic fuzzy weighted arithmetic averaging (IFWAA) operator, the intuitionistic fuzzy number information is aggregated, and then the scheme is sorted according to the score function and the exact function.Finally, an example is given to illustrate the practicability and effectiveness of the method.
【作者單位】： 重慶文理學(xué)院經(jīng)濟(jì)與管理系;
【分類號(hào)】：C934

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