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Sensitivity analysis in ranking and selection for multiple performance measures

Authors:

Douglas J. Morrice,

John Butler,

Peter Mullarkey,

Srinagesh GavirneniAuthors Info & Claims

WSC '99: Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1

Pages 618 - 624

https://doi.org/10.1145/324138.324445

Published: 01 December 1999 Publication History

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References

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Morrice, D. J., J. C. Butler, and P. W. Mullarkey. 1999. A Multiple Attribute Utility Approach to Ranking and Selection for Systems With Multiple Performance Measures. Working Paper. The University of Texas at Austin.

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Merrick J(2009)Bayesian Simulation and Decision AnalysisDecision Analysis10.1287/deca.1090.01516:4(222-238)Online publication date: 1-Dec-2009
https://dl.acm.org/doi/10.1287/deca.1090.0151
Butler JMorrice DMullarkey P(2001)A Multiple Attribute Utility Theory Approach to Ranking and SelectionManagement Science10.1287/mnsc.47.6.800.981247:6(800-816)Online publication date: 1-Jun-2001
https://dl.acm.org/doi/10.1287/mnsc.47.6.800.9812
Swisher JHyden PJacobson SSchruben LFishwick PKang KJoines JBarton R(2000)Simulation optimizationProceedings of the 32nd conference on Winter simulation10.5555/510378.510400(119-128)Online publication date: 10-Dec-2000
https://dl.acm.org/doi/10.5555/510378.510400
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Index Terms

Sensitivity analysis in ranking and selection for multiple performance measures
1. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis
      1. Model verification and validation
      2. Modeling methodologies
    2. Simulation evaluation

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WSC '99: Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1

December 1999

925 pages

ISBN:0780357809

DOI:10.1145/324138

Editors:
Phillip A. Farrington
Univ. of Alabama in Huntsville, Huntsville
,
Harriet Black Nembhard
Univ. of Wisconsin—Madison, Madison
,
David T. Sturrock
Systems Modeling, Sewickley, PA
,
Gerald W. Evans
Univ. of Louisville, Louisville, KY

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 December 1999

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December 5 - 8, 1999

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WSC '99 Paper Acceptance Rate 139 of 206 submissions, 67%;

Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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Merrick J(2009)Bayesian Simulation and Decision AnalysisDecision Analysis10.1287/deca.1090.01516:4(222-238)Online publication date: 1-Dec-2009
https://dl.acm.org/doi/10.1287/deca.1090.0151
Butler JMorrice DMullarkey P(2001)A Multiple Attribute Utility Theory Approach to Ranking and SelectionManagement Science10.1287/mnsc.47.6.800.981247:6(800-816)Online publication date: 1-Jun-2001
https://dl.acm.org/doi/10.1287/mnsc.47.6.800.9812
Swisher JHyden PJacobson SSchruben LFishwick PKang KJoines JBarton R(2000)Simulation optimizationProceedings of the 32nd conference on Winter simulation10.5555/510378.510400(119-128)Online publication date: 10-Dec-2000
https://dl.acm.org/doi/10.5555/510378.510400
Swisher JHyden PJacobson SSchruben L(2000)A survey of simulation optimization techniques and procedures2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165)10.1109/WSC.2000.899706(119-128)Online publication date: 2000
https://doi.org/10.1109/WSC.2000.899706

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Ranking measures and loss functions in learning to rank

Feature selection for ranking

A comparative study of ranking methods, similarity measures and uncertainty measures for interval type-2 fuzzy sets

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