Detecting and adjusting ordinal and cardinal inconsistencies through a graphical and optimal approach in AHP models

Han-Lin Li, Li Ching Ma*

*此作品的通信作者

研究成果: Article同行評審

69 引文 斯高帕斯(Scopus)

摘要

An AHP model suffering from significant cardinal or/and ordinal inconsistencies in its preference matrix is difficult to rank rationally the alternatives. This study proposes an iterative method to assist a decision maker to detect/adjust inconsistencies and to represent his/her judgments properly. A Gower plot is first used to detect ordinal and cardinal inconsistencies. Two optimization models are then constructed to provide suggeted adjustments upon the request of the decision maker. By examining the Gower plots and numerical suggestions, the decision maker may revise iteratively the preference ratios to improve inconsistencies until all alternatives are ranked.

原文English
頁(從 - 到)780-798
頁數19
期刊Computers and Operations Research
34
發行號3
DOIs
出版狀態Published - 3月 2007

指紋

深入研究「Detecting and adjusting ordinal and cardinal inconsistencies through a graphical and optimal approach in AHP models」主題。共同形成了獨特的指紋。

引用此