An Interactive Data-Driven Multiple-Attribute Decision-Making Technique With Interval-Valued Intuitionistic Fuzzy Information for Satisfaction Evaluation of Public Art in Urban Squares

For the design of public spaces in most cities’ squares, media art forms should be actively adopted in popular culture, and effective media forms such as television and imaging should also be invested. The best way to effectively create a square atmosphere is to choose the best media art, find the simplest communication approaches, improve its simplicity, directness, attraction, and further popularize the form of popular art. The satisfaction evaluation of public art in urban squares is multiple-attribute decision-making (MADM). In this study, the interval-valued intuitionistic fuzzy (IVIF) Hamacher interactive power weighted averaging (IVIFHIPWA) approach is implemented based on the IVIF Hamacher interactive weighted averaging (IVIFHIWA) approach and power average (PA) approach. Then, the IVIFHIPWA approach is employed to put up with MADM with IVIFSs. Finally, numerical example for satisfaction evaluation of public art in urban squares is employed to test the IVIFHIPWA. Thus, the major contributions of this research are concluded: (1) IVIFHIPWA approach is constructed in light with IVIFHIWA and PA approach; (2) IVIFHIPWA approach is put forward MADM with IVIFSs; (3) numerical example for satisfaction evaluation of public art in urban squares has been put forward the IVIFHIPWA approach.