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Rank reversal and Rank Preservation in ANP method

Journal of Discrete Mathematical Sciences and Cryptography, 2016
AbstractThe analytic network process (ANP) as a generalization of the analytic hierarchy process (AHP) can also produce rank reversal phenomenon in multiple criteria decision making (MCDM).The reverse phenomenon can influence the correctness of our decision-makers greatly.
Feng Kong
exaly   +2 more sources

Survey on rank preservation and rank reversal in data envelopment analysis

Knowledge-Based Systems, 2014
In most data envelopment analysis (DEA) models, the best performers have the full efficient status denoted by unity (or 100), and, from experience, we know that usually plural decision making units (DMUs) have this efficient status. Discriminating between these efficient DMUs is an interesting subject, and a large number of methods have been proposed ...
Mehdi Soltanifar
exaly   +2 more sources

Supplier selection with rank reversal in public tenders [PDF]

open access: yesJournal of Purchasing and Supply Management, 2022
For supplier selection in the public sector, the Weighted Sum Model is often used in combination with relative scoring methods that allow rank reversal. With rank reversal we refer to a changed order in the ranking of bids leading to a new winner, after ...
Fredo Schotanus, Jan Telgen
exaly   +3 more sources

A robust method for avoiding rank reversal in the TOPSIS

Computers and Industrial Engineering, 2022
Baohua Yang, Jinshuai Zhao
exaly   +2 more sources

Some results about rank reversal instances in the PROMETHEE methods

open access: yesInternational Journal of Multicriteria Decision Making, 2013
The multicriteria methods based on pairwise comparisons suffer from possible rank reversal occurrences when the set of alternatives is modified. We study this distinctive feature in the scope of the PROMETHEE I and II methods.
Yves De Smet
exaly   +2 more sources

Reverse k-ranks query

Proceedings of the VLDB Endowment, 2014
Finding matching customers for a given product based on individual user's preference is critical for many applications, especially in e-commerce. Recently, the reverse top- k query is proposed to return a number of customers who regard a given product as one of the k most favorite products ...
Zhao Zhang 0009   +2 more
openaire   +1 more source

Aggregate Reverse Rank Queries

2016
Recently, reverse rank queries have attracted significant research interest. They have real-life applicability, such as in marketing analysis and product placement. Reverse k-ranks queries return users (preferences) who favor a given product more than other people. This helps manufacturers find potential buyers even for an unpopular product. Similar to
Yuyang Dong   +3 more
openaire   +1 more source

Weighted Aggregate Reverse Rank Queries

ACM Transactions on Spatial Algorithms and Systems, 2018
In marketing, helping manufacturers to find the matching preferences of potential customers for their products is an essential work, especially in e-commerce analyzing with big data. The aggregate reverse rank query has been proposed to return top- k customers who have more potential to buy a given product bundling ...
Yuyang Dong   +4 more
openaire   +1 more source

Dynamics and mechanics of social rank reversal

Journal of Comparative Physiology A, 2004
Stable social relationships are rearranged over time as resources such as favored territorial positions change. We test the hypotheses that social rank relationships are relatively stable, and although social signals influence aggression and rank, they are not as important as memory of an opponent.
Cliff H, Summers   +10 more
openaire   +2 more sources

IBMM for Rank Reversal

2012
When a new alternative or criterion is added to the decision model or old ones are deleted from the decision matrix, the rank of the alternatives may be reversed, namely, a less preferred alternative may become more preferred. In this Chapter, the IBMM is further extended to perform the sensitivity analysis of rank reversal when a new alternative or ...
Gang Kou, Daji Ergu, Yi Peng, Yong Shi
openaire   +1 more source

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