A hybrid decision making aided framework for multi-criteria decision making with R-numbers and preference models

Qian Zhao*, Yanbing Ju, Peiwu Dong, Ernesto D.R.Santibanez Gonzalez

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    17 Citations (Scopus)

    Abstract

    As a risk modeling about fuzzy numbers, R-numbers have successfully extended to multi-criteria decision making (MCDM) methods for the real-life decision making problems involving the risk and uncertainties associated with fuzzy numbers. To obtain more reliable and robust multi-criteria ranking alternatives in these uncertain situations, a hybrid decision making aided framework involving stochastic multiobjective acceptability analysis (SMAA), robust ordinal regression (ROR), and multi-attributive border approximation area comparison (MABAC) is proposed for MCDM problems with risk factors and preference models. Firstly, some novel operations of the R-numbers associated with triangular fuzzy numbers are proposed to explore a broader application scope. Secondly, a novel MABAC method combined with the R-numbers is proposed for MCDM problems which focus on uncertainty and error of triangular fuzzy numbers. Thirdly, a hybrid decision making aided framework which applies SMAA and ROR into the novel MABAC method is proposed for obtaining robust multi-criteria ranking alternatives through two binary relations, and two measures complement each other. Moreover, a Monte Carlo simulation of the framework is performed. Lastly, an application of assessment of wind energy potential and comparative analysis is provided to illustrate the efficiency and superiority of the proposed framework.

    Original languageEnglish
    Article number104777
    JournalEngineering Applications of Artificial Intelligence
    Volume111
    DOIs
    Publication statusPublished - May 2022

    Keywords

    • Multi-attributive border approximation area comparison
    • Multi-criteria decision making
    • R-numbers
    • Robust ordinal regression
    • Stochastic multiobjective acceptability analysis

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