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Method for triangular fuzzy multiple attribute decision making based on two-dimensional density operator method

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Aiming at the triangular fuzzy(TF)multi-attribute deci-sion making(MADM)problem with a preference for the distribu-tion density of attribute(DDA),a decision making method with TF number two-dimensional density(TFTD)operator is pro-posed based on the density operator theory for the decision maker(DM).Firstly,a simple TF vector clustering method is pro-posed,which considers the feature of TF number and the geo-metric distance of vectors.Secondly,the least deviation sum of squares method is used in the program model to obtain the den-sity weight vector.Then,two TFTD operators are defined,and the MADM method based on the TFTD operator is proposed.Finally,a numerical example is given to illustrate the superiority of this method,which can not only solve the TF MADM problem with a preference for the DDA but also help the DM make an overall comparison.

fuzzy decision makingclusteringdensity operatormulti-attribute decision making(MADM)

LIN Youliang、LI Wu、LIU Gang、HUANG Dong

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School of Economics and Management,Hunan Institute of Science and Technology,Yueyang 414000,China

Hunan Vocational College for Nationalities,Yueyang 414000,China

School of Information Science and Engineering,Hunan Institute of Science and Technology,Yueyang 414000,China

Natural Science Foundation of Hunan ProvinceNatural Science Foundation of Hunan ProvinceResearch Foundation of Education Bureau of Hunan ProvinceResearch Foundation of Education Bureau of Hunan ProvinceKey R&D Projects of Hunan Province

2023JJ500472023JJ4030623A049420B2602019SK2331

2024

10.23919/JSEE.2024.000019

系统工程与电子技术(英文版)
中国航天科工防御技术研究院 中国宇航学会 中国系统工程学会 中国系统仿真学会

系统工程与电子技术(英文版)

CSTPCD
影响因子：0.64
ISSN：1004-4132
年,卷(期)：2024.35(1)
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