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| Content Provider | Springer Nature Link |
|---|---|
| Author | Kułakowski, Konrad Grobler Dębska, Katarzyna Wąs, Jarosław |
| Copyright Year | 2014 |
| Abstract | Heuristic rating estimation is a newly proposed method that supports decisions analysis based on the use of pairwise comparisons. It allows the ranking values of some alternatives (herein referred to as concepts) to be initially known, whilst ranks for other concepts have yet to be estimated. To calculate the missing ranks it is assumed that the priority of every single concept can be determined as the weighted arithmetic mean of the priorities of all the other concepts. It has been shown that the problem has an admissible solution if the inconsistency of the pairwise comparisons is not too high. The proposed approach adopts heuristics according to which a weighted geometric mean is used to determine the missing priorities. In this approach, despite increased complexity, a solution always exists and its existence does not depend on the inconsistency or reciprocity of the input matrix. Thus, the presented approach might be appropriate for a larger number of problems than previous methods. Moreover, it turns out that the geometric approach, as proposed in the article, can be optimal. The optimality condition is presented in the form of a corresponding theorem. A formal definition of the proposed geometric heuristics is accompanied by two numerical examples. |
| Starting Page | 529 |
| Ending Page | 543 |
| Page Count | 15 |
| File Format | |
| ISSN | 09255001 |
| Journal | Journal of Global Optimization |
| Volume Number | 62 |
| Issue Number | 3 |
| e-ISSN | 15732916 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2014-11-09 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Multicriteria analysis Pairwise comparisons Ranking theory AHP Logarithmic least square method Optimization Operations Research/Decision Theory Real Functions Computer Science |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Optimization Applied Mathematics Management Science and Operations Research Business, Management and Accounting Computer Science Applications |
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