Multiple Attribute Strategic Weight Manipulation With Minimum Cost in a Group Decision Making Context With Interval Attribute Weights Information
Metadatos
Mostrar el registro completo del ítemAutor
Liu, Yating; Dong, Yucheng; Liang, Haiming; Chiclana Parrilla, Francisco; Herrera Viedma, EnriqueEditorial
IEEE
Materia
Interval attribute weight information Minimum cost Multiple attribute decision making (MADM) Strategic weight manipulation
Fecha
2018-10Referencia bibliográfica
Liu, Y., Dong, Y., Liang, H., Chiclana, F., & Herrera-Viedma, E. (2018). Multiple attribute strategic weight manipulation with minimum cost in a group decision making context with interval attribute weights information. IEEE Transactions on Systems, Man, and Cybernetics: Systems.
Patrocinador
This work was supported in part by National Science Foundation of China under Grant 71571124, Grant 71871149, and Grant 71601133; in part by Sichuan University under Grant sksyl201705 and Grant 2018hhs-58; and in part by FEDER Funds under Grant TIN2016- 75850-R.Resumen
Abstract—In multiple attribute decision making (MADM),
strategic weight manipulation is understood as a deliberate
manipulation of attribute weight setting to achieve a desired
ranking of alternatives. In this paper, we study the strategic
weight manipulation in a group decision making (GDM) context
with interval attribute weight information. In GDM, the
revision of the decision makers’ original attribute weight information
implies a cost. Driven by a desire to minimize the cost,
we propose the minimum cost strategic weight manipulation
model, which is achieved via optimization approach, with the
mixed 0-1 linear programming model being proved appropriate
in this context. Meanwhile, some desired properties to manipulate
a strategic attribute weight based on the ranking range
under interval attribute weight information are proposed. Finally,
numerical analysis and simulation experiments are provided with
a twofold aim: 1) to verify the validity of the proposed models
and 2) to show the effects of interval attribute weights information
and the unit cost, respectively, on the cost to manipulate
strategic weights in the MADM in a group decision context.