Further Discussions on Induced Bias Matrix Model for the Pair-Wise Comparison Matrix

被引:1
|
作者
Ergu, Daji [1 ,2 ]
Kou, Gang [1 ]
Fueloep, Janos [3 ]
Shi, Yong [4 ]
机构
[1] Univ Elect Sci & Technol China, Sch Management & Econ, Chengdu 610200, Peoples R China
[2] Southwest Univ Nationalities, Chengdu 610054, Peoples R China
[3] Hungarian Acad Sci, Res Grp Operat Res & Decis Syst, Comp & Automat Res Inst, H-1111 Budapest, Hungary
[4] Chinese Acad Sci, Res Ctr Fictitious Econ & Data Sci, Beijing 100190, Peoples R China
基金
中国国家自然科学基金;
关键词
Analytic network process (ANP); The induced bias matrix model (IBMM); Inconsistency identification; Reciprocal pairwise comparison matrix (RPCM); ANALYTIC HIERARCHY PROCESS; DECISION; ALGORITHMS; RATIO;
D O I
10.1007/s10957-012-0223-2
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
The inconsistency issue of pairwise comparison matrices has been an important subject in the study of the analytical network process. Most inconsistent elements can efficiently be identified by inducing a bias matrix only based on the original matrix. This paper further discusses the induced bias matrix and integrates all related theorems and corollaries into the induced bias matrix model. The theorem of inconsistency identification is proved mathematically using the maximum eigenvalue method and the contradiction method. In addition, a fast inconsistency identification method for one pair of inconsistent elements is proposed and proved mathematically. Two examples are used to illustrate the proposed fast identification method. The results show that the proposed new method is easier and faster than the existing method for the special case with only one pair of inconsistent elements in the original comparison matrix.
引用
收藏
页码:980 / 993
页数:14
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