Cardinal and Rank Ordering of Criteria — Addressing Prescription within Weight Elicitation
| Autor: | Mona Riabacke, Mats Danielson, Aron Larsson, Love Ekenberg |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
021103 operations research
business.industry Computer science Rank (computer programming) 0211 other engineering and technologies Expert elicitation 02 engineering and technology Machine learning computer.software_genre Multiple-criteria decision analysis Complete information Simple (abstract algebra) 0202 electrical engineering electronic engineering information engineering Computer Science (miscellaneous) Information system 020201 artificial intelligence & image processing Artificial intelligence Inference engine business computer Decision analysis |
| Zdroj: | International Journal of Information Technology & Decision Making. 14:1299-1330 |
| ISSN: | 1793-6845 0219-6220 |
| Popis: | Weight elicitation methods in multi-criteria decision analysis (MCDA) are often cognitively demanding, require too much precision, time and effort. Some of the issues may be remedied by connecting elicitation methods to an inference engine facilitating a quick and easy method for decision-makers to use weaker input statements, yet being able to utilize these statements in a method for decision evaluation. In this paper, we propose a fast and practically useful weight elicitation method, answering to many of the requirements. The method builds on the ideas of rank-order methods, but can also take imprecise cardinal information into account. The method is subsequently employed in two real-life case studies and compared to a case where a simple ratio weight procedure using exact input statements was employed. |
| Databáze: | OpenAIRE |
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