### Abstract

We propose methods to eliminate redundant utility assessments in decision analysis applications. We abstract a set of utility assessments such that the set is represented as a matrix of ternary numbers. To achieve efficiency, the matrix is converted to a decimal vector for further processing. The resulting approach demonstrates excellent performance on random sets of utility assessments. The method eliminates the redundant questions for the decision maker and can serve for consistency check.

Original language | English |
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Title of host publication | Computational Science - ICCS 2019 - 19th International Conference, 2019, Proceedings |

Editors | Jack J. Dongarra, João M.F. Rodrigues, Pedro J.S. Cardoso, Jânio Monteiro, Roberto Lam, Valeria V. Krzhizhanovskaya, Michael H. Lees, Peter M.A. Sloot |

Publisher | Springer Verlag |

Pages | 282-292 |

Number of pages | 11 |

ISBN (Print) | 9783030227494 |

DOIs | |

Publication status | Published - Jan 1 2019 |

Event | 19th International Conference on Computational Science, ICCS 2019 - Faro, Portugal Duration: Jun 12 2019 → Jun 14 2019 |

### Publication series

Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 11540 LNCS |

ISSN (Print) | 0302-9743 |

ISSN (Electronic) | 1611-3349 |

### Conference

Conference | 19th International Conference on Computational Science, ICCS 2019 |
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Country | Portugal |

City | Faro |

Period | 6/12/19 → 6/14/19 |

### Fingerprint

### Keywords

- Decision analysis
- Decision maker
- Multiattribute utility problem
- Redundant utility assessments
- Uncertainty

### ASJC Scopus subject areas

- Theoretical Computer Science
- Computer Science(all)

### Cite this

*Computational Science - ICCS 2019 - 19th International Conference, 2019, Proceedings*(pp. 282-292). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11540 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-22750-0_22

**Ternary-decimal exclusion algorithm for multiattribute utility functions.** / Abdildin, Yerkin G.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*Computational Science - ICCS 2019 - 19th International Conference, 2019, Proceedings.*Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11540 LNCS, Springer Verlag, pp. 282-292, 19th International Conference on Computational Science, ICCS 2019, Faro, Portugal, 6/12/19. https://doi.org/10.1007/978-3-030-22750-0_22

}

TY - GEN

T1 - Ternary-decimal exclusion algorithm for multiattribute utility functions

AU - Abdildin, Yerkin G.

PY - 2019/1/1

Y1 - 2019/1/1

N2 - We propose methods to eliminate redundant utility assessments in decision analysis applications. We abstract a set of utility assessments such that the set is represented as a matrix of ternary numbers. To achieve efficiency, the matrix is converted to a decimal vector for further processing. The resulting approach demonstrates excellent performance on random sets of utility assessments. The method eliminates the redundant questions for the decision maker and can serve for consistency check.

AB - We propose methods to eliminate redundant utility assessments in decision analysis applications. We abstract a set of utility assessments such that the set is represented as a matrix of ternary numbers. To achieve efficiency, the matrix is converted to a decimal vector for further processing. The resulting approach demonstrates excellent performance on random sets of utility assessments. The method eliminates the redundant questions for the decision maker and can serve for consistency check.

KW - Decision analysis

KW - Decision maker

KW - Multiattribute utility problem

KW - Redundant utility assessments

KW - Uncertainty

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U2 - 10.1007/978-3-030-22750-0_22

DO - 10.1007/978-3-030-22750-0_22

M3 - Conference contribution

SN - 9783030227494

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 282

EP - 292

BT - Computational Science - ICCS 2019 - 19th International Conference, 2019, Proceedings

A2 - Dongarra, Jack J.

A2 - Rodrigues, João M.F.

A2 - Cardoso, Pedro J.S.

A2 - Monteiro, Jânio

A2 - Lam, Roberto

A2 - Krzhizhanovskaya, Valeria V.

A2 - Lees, Michael H.

A2 - Sloot, Peter M.A.

PB - Springer Verlag

ER -