Group Decision-Based Construction of Scenarios for Multicriteria Analysis in Conditions of Uncertainty on the Basis of Quantitative and Qualitative Information

• Published in: Group decision and negotiation Vol. 30; no. 3; pp. 665 - 696
• Main Authors: Figueiredo, L. R., Frej, E. A., Soares, G. L., Ekel, P. Ya
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.06.2021; Springer Nature B.V
• Subjects: Biological and Physical Anthropology; Business and Management; Decision making; Qualitative research; Uncertainty; Multi-objective Decision-Making; Possibilistic Approach; Robust Multicriteria Solutions; Consensus Scheme; Processing Qualitative Information
• ISSN: 0926-2644; 1572-9907
• DOI: 10.1007/s10726-021-09728-z

This study examines a general scheme of multicriteria decision-making under uncertainty based on quantitative and qualitative information. In its original form, the general scheme uses qualitative information at the final decision stage, only if the quantitative information is unable to generate unique solutions. Considering that many problems require objectives based on qualitative information at all decision stages, the results of Ramalho et al. ( 2019 ) can provide such solutions. However, the processing of qualitative information in Ramalho et al. ( 2019 ) is based on applying a very simple approach to aggregating individual preferences without analyzing any type of consensus information. Therefore, the present study sets out to show that representative combinations of initial data, states of nature or scenarios can be constructed by using qualitative information directly, based on aggregating individual preferences after achieving the necessary consensus. In particular, a new scheme for consensus construction is proposed. Using this scheme enables negative points inherent in traditional approaches to be avoided and uncertainty levels to be reduced when estimating coefficients of objective functions based on qualitative information. An illustrative example is presented to demonstrate the results that the new proposal can achieve.