Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making

• Published in: Mathematical and computer modelling Vol. 51; no. 1; pp. 1 - 12
• Main Authors: Wang, Ying-Ming, Luo, Ying
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 2010; Elsevier
• Subjects: Alternative ranking; Attribute weights; Calculus of variations and optimal control; Correlation coefficient; Exact sciences and technology; Global analysis, analysis on manifolds; Global sensitivity analysis; Mathematical analysis; Mathematics; Measure and integration; Methods of scientific computing (including symbolic computation, algebraic computation); Multiple attribute decision making; Numerical analysis. Scientific computation; Sciences and techniques of general use; Standard deviation; Topology. Manifolds and cell complexes. Global analysis and analysis on manifolds; Alternative ranking; Correlation coefficient; Multiple attribute decision making; Global sensitivity analysis; Standard deviation; Attribute weights; Correlation; Integration; Sensitivity analysis; Decision making; Scientific computation; Applied mathematics; Mathematical model; Numerical stability; Computer aided analysis

This paper proposes a correlation coefficient (CC) and standard deviation (SD) integrated approach for determining the weights of attributes in multiple attribute decision making (MADM) and a global sensitivity analysis to the weights determined. The CCSD integrated approach determines the weights o...