Bibliographic Details
| Title: |
Detecting and adjusting ordinal and cardinal inconsistencies through a graphical and optimal approach in AHP models |
| Authors: |
Li, Han-Lin1 hlli@cc.nctu.edu.tw, Ma, Li-Ching1,2 lcma@nuu.edu.tw |
| Source: |
Computers & Operations Research. Mar2007, Vol. 34 Issue 3, p780-798. 19p. |
| Subjects: |
Operations research, Matrices (Mathematics), Decision making, Industrial engineering |
| Abstract: |
Abstract: 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. [Copyright &y& Elsevier] |
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Copyright of Computers & Operations Research is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |
