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An Iterative Transient Rank Aggregation Technique for Mitigation of Rank Reversal

International Journal of Synthetic Emotions, 2018
With the advent of decision science, significant elucidation has been sought in the literature of multi criteria decision making. Often, it is observed that for the same MCDM problem, different methods fetch way-apart ranks and the phenomenon leads to rank reversal.
Bikash Bepari   +4 more
openaire   +1 more source

A simulation study on the probabilities of rank reversal, tie making, and tie breaking for multiple criteria decision making methods

open access: yesOmega
Multiple criteria decision making (MCDM) methods can be affected by preference reversal, meaning that the order of two alternatives is reversed after adding or deleting another alternative. Here, we focus on methods that produce rankings with ties (i.e.,
Lisheng Jiang   +2 more
exaly   +2 more sources

Ranking reversals in asymmetric auctions

Journal of Mathematical Economics, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

On Rank Reversals in the Borda Count

Volume 3b: 15th International Conference on Design Theory and Methodology, 2003
The Borda count is a pairwise comparison method which can be shown to have various desirable properties. Questions have been raised about the efficacy of the Borda count and its engineering equivalents for concept selection in engineering design. Of chief concern is the possibility of rank reversals among design alternatives when other alternatives are
Michael J. Scott, Irena Zivkovic
openaire   +1 more source

Reverse engineering the way humans rank textures

Pattern Analysis and Applications, 2006
We argue that in order to understand which features are used by humans to group textures, one must start by computing thousands of features of diverse nature, and select from those features those that allow the reproduction of perceptual groups or perceptual ranking created by humans. We use the Trace transform to produce such features here. We compare
Petrou, M.   +2 more
openaire   +2 more sources

The Prediction of Rank Reversal in TOPSIS

Eximia
The rank reversal (RR) problem occurs in that rank the all-around performance (benefit or cost) of some alternatives represented with respect to rivaling criteria. The RR in the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) occurs less than other multi-criteria decision-making (MCDM) methods. We analyze the RR of simplified
null Yensen Ni, null Hung-Ching Hu
openaire   +1 more source

Efficient Processing of Aggregate Reverse Rank Queries

2017
Given two data sets of user preferences and product attributes in addition to a set of query products, the aggregate reverse rank (ARR) query returns top-k users who regard the given query products as the highest aggregate rank than other users.
Yuyang Dong   +3 more
openaire   +1 more source

Bichromatic Reverse Ranking Query in Two Dimensions

2013
Capturing potential customers for a given product based on individual preferences is very important in many personalized applications. Reverse ranking queries are widely employed in this scenario from the perspective of product in database community.
Zhao Zhang 0009   +3 more
openaire   +1 more source

Reverse mathematics and rank functions for directed graphs

Archive for Mathematical Logic, 2000
This paper is part of the program of reverse mathematics [see \textit{S. G. Simpson}, Subsystems of second order arithmetic (Springer, Berlin) (1999; Zbl 0909.03048) for an introduction to this subject] and deals with existence and uniqueness of rank functions for directed graphs.
openaire   +1 more source

RADAR: Fast Approximate Reverse Rank Queries

2020
Reverse k-rank queries, for a given query item, extract the top-k users whose ranking of the item (based on individual user’s preferences) is best among all the users. Such queries have recently received significant interest in diverse applications like market analysis, product placement, sales and e-commerce.
openaire   +1 more source

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