Using different pair-wise comparison scales for developing industrial strategies
Vitaliy V. Tsyganok,
Sergii V. Kadenko and
Oleg V. Andriichuk
International Journal of Management and Decision Making, 2015, vol. 14, issue 3, 224-250
Abstract:
We suggest a new approach to conducting individual pair-wise comparisons during individual and group multi-criteria decision-making. Under the approach, every expert can use the most convenient scale for every single pair-wise comparison. By 'convenient scale' we mean the scale, in which the degree of detail most adequately reflects this expert's competence in the issue under consideration. All scales are assigned respective weights. Then all expert judgments are brought to a unified scale, checked for consistency and aggregated. Software for pair-wise comparison conduction has been developed, and an experiment has been organised. The experiment statistically proved that usage of the suggested approach increased the adequacy of expert examination results. The approach is especially relevant for strategic planning in industries, representing weakly structured domains, where one cannot rely only on quantitative data and tangible criteria. As an example of the approach's practical usage we consider its application for evaluation of space projects.
Keywords: group decision making; decision support systems; DSS; expert judgments; pairwise comparisons; different scales; industrial strategy; project evaluation; multicriteria decision making; MCDM; space projects. (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=70760 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmdma:v:14:y:2015:i:3:p:224-250
Access Statistics for this article
More articles in International Journal of Management and Decision Making from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().