摘要
作为q阶正交模糊集的扩展,区间q阶正交模糊集是处理不确定信息的有力工具。在此基础上,定义了区间q阶正交模糊明考斯基距离测度和相似性测度的公式,并研究了这些测度的基本性质。最后,将区间q阶正交模糊明考斯基距离测度和相似性测度应用于多属性决策中,通过算例证明区间q阶正交模糊距离测度和相似性测度的有效性和可行性。
As an extension of the q-rung orthogonal fuzzy set,the interval q-rung orthogonal fuzzy set is a powerful tool to deal with uncertain information.On this basis,the formulations of interval q-rung orthogonal fuzzy Minkowski distance measure and similarity measure are defined,and the basic properties of these measures are studied.Finally,the interval q-rung orthogonal fuzzy Minkowski distance measure and the similarity measure are applied to the multi-attribute decision making,and the validity and feasibility of the interval q-rung orthogonal fuzzy Minkowski distance measure and the similarity measure are proved by an example.
作者
冯飞翔
李鸿旭
FENG Fei-xiang;LI Hong-xu(School of Management Engineering and Business,Hebei University of Engineering,Handan 056038,China;School of System Science and Engineering,Sun Yat-sen University,Guangzhou 510006,China)
出处
《中小企业管理与科技》
2021年第23期181-182,共2页
Management & Technology of SME
关键词
区间q阶正交模糊集
明考斯基距离
相似性测度
interval q-rung orthogonal fuzzy sets
Minkowski distance
similarity measure
