標題: Detecting and adjusting ordinal and cardinal inconsistencies through a graphical and optimal approach in AHP models
作者: Li, Han-Lin
Ma, Li-Ching
交大名義發表
National Chiao Tung University
關鍵字: inconsistency;Gower plot;preference;interactive;AHP
公開日期: 1-三月-2007
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. (c) 2005 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.cor.2005.05.010
http://hdl.handle.net/11536/11062
ISSN: 0305-0548
DOI: 10.1016/j.cor.2005.05.010
期刊: COMPUTERS & OPERATIONS RESEARCH
Volume: 34
Issue: 3
起始頁: 780
結束頁: 798
顯示於類別:期刊論文


文件中的檔案:

  1. 000241737500010.pdf

若為 zip 檔案,請下載檔案解壓縮後,用瀏覽器開啟資料夾中的 index.html 瀏覽全文。