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属性值为区间数的决策对象相对可能度关系模型及其应用
引用本文:黄智力,陈青兰.属性值为区间数的决策对象相对可能度关系模型及其应用[J].控制与决策,2022,37(4):1025-1034.
作者姓名:黄智力  陈青兰
作者单位:厦门理工学院 经济与管理学院,福建 厦门 361024
基金项目:国家自然科学基金项目(60975052);福建省社会科学规划项目(FJ2018B031,FJ2019B101);福建省软科学项目(2019R0094);福建省中青年教师教育科研项目(JAS180383);厦门理工学院高层次人才引进项目(YKJ17004R).
摘    要:对于属性权重未知的区间数型不确定多属性决策问题,首先在界定区间数相对可能度的基础上给出区间数比较相对可能度关系理论,并得到一些相关性质;其次借鉴离差最大化模型算法建立基于比较相对可能度关系确定属性权重的区间数型决策对象相对可能度关系模型(IN-DMORPRM);然后通过集结与融合供选决策对象间两两优势比较测定出的相对可...

关 键 词:不确定多属性决策  区间数  相对可能度关系模型  属性权重

Relative possibility relation model for decision making objects with multiple attribute values as interval number and its application
HUANG Zhi-li,CHEN Qing-lan.Relative possibility relation model for decision making objects with multiple attribute values as interval number and its application[J].Control and Decision,2022,37(4):1025-1034.
Authors:HUANG Zhi-li  CHEN Qing-lan
Affiliation:School of Economics and Management,Xiamen University of Technology,Xiamen 361024,China
Abstract:For the interval number-based uncertain multiple attribute decision making problem with unknown attribute weights, firstly, based on the definition of relative possibility degree of interval number, the comparative relative possibility relation theory of interval number is proposed, and some related properties are obtained. Secondly, the interval number-based decision making object relative possibility relation model (IN-DMORPRM) to determine the attribute weight based on comparative relative possibility relation is established by drawing lessons from the idea of the algorithm of maximizing deviation models. Then, by aggregating and fusing the information of the relative possibility degree relation matrix measured by the superiority comparison in pairs between the decision making objects, the value of overall relative possibility degree of each decision making object is obtained, and the selection and judgment of the advantages and disadvantages of the objects set for selecting are carried out, so as to propose a new model algorithm for the relative possibility degree relation of interval number-based multi-attribute decision making objects. Finally, an numerical example is used to verify the effectiveness and practicability of the model algorithm.
Keywords:
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