Trade-off ranking method for multi-criteria decision analysis

Nor Jaini, Sergey Utyuzhnikov

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


Multi-criteria decision analysis presumes trade-off between different criteria. As a result, the optimal solution is not unique and can be represented by the Pareto frontier in the objective space. Each Pareto solution is a compromise between different objectives. Despite a limited number of Pareto optimal solutions, the decision-maker eventually has to choose only one option. Such a choice has to be made with the use of additional preferences not included in the original formulation of the optimization problem. The paper represents a new approach to an automatic ranking that can help the decision-maker. In contrast to the other methodologies, the proposed method is based on the minimization of trade-off between different Pareto solutions. To be realized, the approach presumes the existence of a well-distributed Pareto set representing the entire Pareto frontier. In the paper, such a set is generated with the use of the directed search domain algorithm. The method is applied to a number of test cases and compared against two existing alternative approaches.

Original languageEnglish
Pages (from-to)121-132
Number of pages12
JournalJournal of Multi-Criteria Decision Analysis
Issue number3-4
Publication statusPublished - 1 May 2017
Externally publishedYes


  • directed search domain algorithm
  • multi-criteria decision analysis
  • multi-objective optimization
  • Pareto optimal solution
  • ranking
  • trade-off


Dive into the research topics of 'Trade-off ranking method for multi-criteria decision analysis'. Together they form a unique fingerprint.

Cite this