Ternary-decimal exclusion algorithm for multiattribute utility functions

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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 languageEnglish
Title of host publicationComputational Science - ICCS 2019 - 19th International Conference, 2019, Proceedings
EditorsJack J. Dongarra, João M.F. Rodrigues, Pedro J.S. Cardoso, Jânio Monteiro, Roberto Lam, Valeria V. Krzhizhanovskaya, Michael H. Lees, Peter M.A. Sloot
PublisherSpringer Verlag
Number of pages11
ISBN (Print)9783030227494
Publication statusPublished - Jan 1 2019
Event19th International Conference on Computational Science, ICCS 2019 - Faro, Portugal
Duration: Jun 12 2019Jun 14 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11540 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference19th International Conference on Computational Science, ICCS 2019


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

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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