2020
DOI: 10.3390/math8030350
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Multiobjective Games for Detecting Abnormally Expressed Genes

Abstract: A class of multiobjective games with applications to a medicine setting is studied. We consider the vector Shapley value and the vector Banzhaf value for a multicriteria game and we apply them to a microarray game. We give an axiomatic characterization too.

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Cited by 5 publications
(5 citation statements)
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“…Another model studying the cancer cells was introduced in [21] and generalized to multicriteria games (that is games with vector payoffs) in [22].…”
Section: Evolution Of Tumor Cellsmentioning
confidence: 99%
See 2 more Smart Citations
“…Another model studying the cancer cells was introduced in [21] and generalized to multicriteria games (that is games with vector payoffs) in [22].…”
Section: Evolution Of Tumor Cellsmentioning
confidence: 99%
“…The authors in [22] study the vector Shapley value for microarray multiobjective games basing on the idea of "partnership of genes" (as in [21]). Intuitively this is a genes' group with correlated characterizations and which is very useful to study if the disease is developing.…”
Section: Evolution Of Tumor Cellsmentioning
confidence: 99%
See 1 more Smart Citation
“…The Banzhaf value 9 for cooperative games can be used as a solution concept and to evaluate the cooperation existing among players. To name a few, the application of the Banzhaf value to communication situations has been given by Alonso-Meijide and Fiestras-Janeiro 10 , Gallego et al 11 to Compute the power of the political groups in the European Parliament, and Fragnelli and Pusillo 12 applied the Banzhaf value for detecting abnormally expressed genes.…”
Section: Introductionmentioning
confidence: 99%
“…As we all know, in many fields such as optimal control, engineering design, economy, and arms race, deciders usually have not merely considered one objective [1][2][3][4][5][6] but integrated many objectives in decision-making. So multiobjective decisions are more consistent with reality than a single-objective decision.…”
Section: Introductionmentioning
confidence: 99%