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A LINMAP approach for determining subjective attribute weights for neutrosophic multi-attribute decision-making models

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  • S. Paulraj
  • G. Tamilarasi

Abstract

The linear programming technique for multidimensional analysis of preference (LINMAP) is one of the well-known methods involved to solve multi-attribute decision-making (MADM) problems. Many authors developed LINMAP method based on fuzzy and intuitionistic fuzzy environment. In this paper, we develop a new method called neutrosophic Linear programming technique for multidimensional analysis of preference (LINMAP), which combines the single valued neutrosophic sets with LINMAP method. This paper establish the conventional LINMAP method to a neutrosophic MADM framework using single valued trapezoidal neutrosophic numbers and we obtain the attributes weight and ideal solution. A practical example is provided to show that our method is very effective for solving MADM problems with single valued trapezoidal neutrosophic number information. Comparative analyses with existing method are also furnished to show the advantage of our proposed method.

Suggested Citation

  • S. Paulraj & G. Tamilarasi, 2025. "A LINMAP approach for determining subjective attribute weights for neutrosophic multi-attribute decision-making models," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 52(4), pages 558-577.
    • Handle: RePEc:ids:ijores:v:52:y:2025:i:4:p:558-577
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