A novel multi-attribute decision-making method based on neighborhood and its application

被引:10
作者
Yu, Bin [1 ]
Xu, Zeshui [2 ]
Dai, Jianhua [1 ]
Yang, Tian [1 ]
机构
[1] Hunan Normal Univ, Hunan Prov Key Lab Intelligent Comp & Language In, Changsha 410081, Hunan, Peoples R China
[2] Sichuan Univ, Business Sch, Chengdu 610064, Sichuan, Peoples R China
关键词
Information system; Advantage neighborhood set; Disadvantage neighborhood set; DANEC; Decision making; INFORMATION; SELECTION; MODEL;
D O I
10.1016/j.eswa.2022.116946
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
To reduce the influence of attribute weight on the result of multi-attribute decision-making (MADM), a new MADM method is proposed for MADM, namely, the Disadvantage and Advantage Neighborhood Environments Comparison. This method determines the ranking of objects by analyzing the ratio of advantage neighborhood sets (environments) to the disadvantage neighborhood sets (environments) of objects. First, the advantage and disadvantage neighborhood sets (environments) of objects are constructed on the basis of the attributes of the objects. The two types of advantage and disadvantage neighborhood approximations are presented, and their related properties are studied. Second, a new MADM method is designed according to the advantages and disadvantages of the objects as a means of overcoming the influence of attribute weight on the decision making results. Finally, we show the process of the method through calculation and the rationality of our method through the comparative analysis and the consistency analysis.
引用
收藏
页数:9
相关论文
共 34 条
[1]  
Afshari A., 2010, Int. J. Innovation, Manage. Technol., V1
[2]  
[Anonymous], 1976, Decisions with multiple objectives: preference and value tradeoffs
[3]  
Brauers WKM, 2006, CONTROL CYBERN, V35, P445
[4]   Applications of the extent analysis method on fuzzy AHP [J].
Chang, DY .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1996, 95 (03) :649-655
[5]   Materials selection using complex proportional assessment and evaluation of mixed data methods [J].
Chatterjee, Prasenjit ;
Athawale, Vijay Manikrao ;
Chakraborty, Shankar .
MATERIALS & DESIGN, 2011, 32 (02) :851-860
[6]  
Chen Lei, 2003, Control and Decision, V18, P456
[7]  
Chen W, 2011, Adv. Electr. Electron., V2, P97, DOI [DOI 10.1007/978-3-642-19712-3_12, DOI 10.1007/978-3-642-19712-312]
[8]   COMPARISON OF 2 METHODS FOR DETERMINING THE WEIGHTS OF BELONGING TO FUZZY-SETS [J].
CHU, ATW ;
KALABA, RE ;
SPINGARN, K .
JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, 1979, 27 (04) :531-538
[9]  
Deng Julong, 1989, Journal of Grey Systems, V1, P1
[10]   APPLICABILITY OF THE COEFFICIENT OF VARIATION METHOD FOR ANALYZING SYNAPTIC PLASTICITY [J].
FABER, DS ;
KORN, H .
BIOPHYSICAL JOURNAL, 1991, 60 (05) :1288-1294