2353. Ranking Members of Parliament with Automatic Democratic Weighting
Invited abstract in session TB-8: MCDA and Composite Indicators: Issues, advances and applications, stream Multiple Criteria Decision Aiding.
Tuesday, 10:30-12:00Room: Clarendon SR 2.08
Authors (first author is the speaker)
| 1. | Chris Tofallis
|
| Business School, University of Hertfordshire |
Abstract
Choosing criteria weights when constructing a multi-dimensional score is difficult for a number of reasons. Firstly, there is the problem of lack of understanding regarding what those weights represent - this will vary according to the scoring method used. Secondly, there may be wide disagreement on weight values amongst those who are being assessed.
The Automatic Democratic Method avoids both these issues.
It has two steps:
(1) Find the weights which will maximize the score for each individual or unit being assessed, subject to the condition that they do not lead to anyone exceeding a score of 100%. For N individuals there will be N optimizations and sets of weights. There is widely available free software which will carry out these optimizations.
(2) In the second step we generate a single common set of weights by carrying out a regression of the scores from step (1) on the criteria data.
Some results will be presented applying this method to the activities of UK Members of Parliament.
Keywords
- OR/MS and the Public Sector
- Multi-Objective Decision Making
Status: accepted
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