PROMETHEE: TECHNICAL DETAILS AND DEVELOPMENTS, AND ITS ROLE IN PERFORMANCE MANAGEMENT
Malcolm J Beynon and
Harry Barton
Chapter 14 in Quantitative Modelling in Marketing and Management, 2015, pp 343-361 from World Scientific Publishing Co. Pte. Ltd.
Abstract:
The Preference Ranking Organisation Method for Enrichment Evaluations (PROMETHEE) method offers a way to undertake the ranking of a finite set of decision alternatives based on values from a number of criteria. As an outranking method it is a multi-criteria decision aid in the ranking process. This chapter outlines the rudiments of the PROMETHEE method, and applies it in a tutorial problem, including the presentation of example numerical calculations. The inclusion of an uncertainity-based analysis with PROMETHEE in the presented text demonstrates the developmental potential of PROMETHEE. The problem considered throughout the chapter concerns the relative performance ranking of individual police forces in a region of the UK, based on their levels of sanction detections (clean-up rates).
Keywords: Quantitative Analysis; Modeling; Marketing Management; Statistical Modelling; Computer Modelling; Memetic Algorithm; Structural Equation Modelling; Artificial Neural Networks (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.worldscientific.com/doi/pdf/10.1142/9789814696357_0014 (application/pdf)
https://www.worldscientific.com/doi/abs/10.1142/9789814696357_0014 (text/html)
Ebook Access is available upon purchase.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:wschap:9789814696357_0014
Ordering information: This item can be ordered from
Access Statistics for this chapter
More chapters in World Scientific Book Chapters from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().