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An Iterative Transient Rank Aggregation Technique for Mitigation of Rank Reversal
International Journal of Synthetic Emotions, 2018With 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
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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
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Ranking reversals in asymmetric auctions
Journal of Mathematical Economics, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On Rank Reversals in the Borda Count
Volume 3b: 15th International Conference on Design Theory and Methodology, 2003The 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
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Reverse engineering the way humans rank textures
Pattern Analysis and Applications, 2006We 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
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The Prediction of Rank Reversal in TOPSIS
EximiaThe 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
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Efficient Processing of Aggregate Reverse Rank Queries
2017Given 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
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Bichromatic Reverse Ranking Query in Two Dimensions
2013Capturing 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
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Reverse mathematics and rank functions for directed graphs
Archive for Mathematical Logic, 2000This 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.
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RADAR: Fast Approximate Reverse Rank Queries
2020Reverse 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.
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