Modified TOPSIS Method for Neutrosophic Cubic Number Multi-Attribute Decision-Making and Applications to Music Composition Effectiveness Evaluation of Film and Television

Contemporary music composition for film and television has exhibited a trend towards diversification, which is reflected in various aspects such as the diversity of musical styles, the integration of music and visuals, as well as the technical means of music creation. With the continuous advancement of music production technology and film/television production technology, the creation of music for film and television has increasingly emphasized the organic integration of music and visuals, as well as the role of music in emotional expression and atmosphere creation. Meanwhile, the fusion and innovation of different musical styles have also brought more possibilities and space to the creation of music for film and television. This trend of diversification not only enriches the artistic expressiveness of film and television works, but also provides audiences with a more diverse audiovisual experience. The music composition effectiveness evaluation of film and television is multi-attribute decision-making (MADM) problem. In this paper, the TOPSIS method is extended to the framework of neutrosophic cubic sets (NCSs) to address MADM problems. The CRITIC method is employed to obtain the weights of the attributes, ensuring a systematic and objective approach to determining their relative importance. Furthermore, the neutrosophic cubic number TOPSIS (NCN-TOPSIS) approach is established for MADM scenarios. To demonstrate the applicability of the proposed NCN-TOPSIS model, a numerical example focused on the music composition effectiveness evaluation in film and television is presented. Additionally, comparative analyses are conducted to showcase the advantages of the NCN-TOPSIS approach over other decision-making methods. By extending the TOPSIS technique to the NCSs environment and integrating the CRITIC method, this research contributes to the field of MADM by providing a robust and efficient decision-making tool for complex, multi-criteria problems, as exemplified by the music composition evaluation in the film and television industry.

@article{Yang2024,
  title     = {Modified TOPSIS Method for Neutrosophic Cubic Number Multi-Attribute Decision-Making and Applications to Music Composition Effectiveness Evaluation of Film and Television},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {15},
  number    = {8},
  year      = {2024},
  publisher = {The Science and Information Organization},
  author    = {Liang Yang and Jun Zhao},
  doi       = {10.14569/IJACSA.2024.0150837},
  url       = {https://doi.org/10.14569/IJACSA.2024.0150837}
}