Using qualitative data in multiple objective linear programming

Pekka Korhonen*, Jyrki Wallenius

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

42 Citations (Scopus)


In this paper we consider the problem of incorporating qualitative data in multiple objective linear programming. We show how the weight assessment technique in the Analytic Hierarchy Process (AHP) can be utilized in multiple objective linear programming, when only qualitative (subjective, judgemental) data is available. Using the AHP, we first quantify the qualitative relationships between the row variables and the decision variables for our model. The row variables may have the status of an objective function or a constraint. Then we apply our visual and dynamic decision support system called VIG for solving the resulting multiple objective linear programming problem. We develop the approach and describe an application to strategic management.

Original languageEnglish
Pages (from-to)81-87
Number of pages7
JournalEuropean Journal of Operational Research
Issue number1
Publication statusPublished - 5 Sep 1990
MoE publication typeA1 Journal article-refereed


  • Analytic Hierarchy Process
  • interactive
  • multiple objective linear programming
  • reference direction
  • visual

Fingerprint Dive into the research topics of 'Using qualitative data in multiple objective linear programming'. Together they form a unique fingerprint.

Cite this