Abstract: The evaluation of interior landscape design in public spaces involves several aspects, including aesthetics, functionality, sustainability, and user experience. Aesthetic evaluation focuses on the visual appeal and stylistic consistency of the design. Functionality considers the practicality and convenience of the space layout. Sustainability evaluates the environmental friendliness of materials and energy efficiency of the design. Additionally, user experience assessment gathers feedback to gauge comfort and satisfaction. These evaluation criteria help designers optimize spaces to be both attractive and practical while meeting user needs. The interior design quality evaluation in public spaces is multiple-attribute decision-making (MADM) problem. Recently, the TODIM and TOPSIS methods have been applied to address MADM challenges. Hesitant fuzzy sets (HFSs) are used to represent uncertain information in the evaluation of interior landscape design in public spaces. In this study, we developed a hesitant fuzzy TODIM-TOPSIS (HF-TODIM-TOPSIS) approach to tackle Multiple Attribute Decision Making (MADM) issues within the context of HFSs. A numerical case study focused on the interior design quality evaluation in public spaces demonstrates the validity of this approach. The primary contributions of this paper include: (1) Extending the TODIM and TOPSIS approaches to incorporate HFSs; (2) Utilizing information entropy to determine weight values under HFSs; (3) Establishing the HF-TODIM-TOPSIS method for managing MADM in the presence of HFSs; (4) Conducting algorithmic analysis and comparative studies based on a numerical example to assess the practicality and effectiveness of the HF-TODIM-TOPSIS approach.

Lu Peng, “Enhanced TODIM-TOPSIS Framework for Interior Design Quality Evaluation in Public Spaces Under Hesitant Fuzzy Sets” International Journal of Advanced Computer Science and Applications(IJACSA), 15(11), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0151124

@article{Peng2024,
title = {Enhanced TODIM-TOPSIS Framework for Interior Design Quality Evaluation in Public Spaces Under Hesitant Fuzzy Sets},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0151124},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0151124},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {11},
author = {Lu Peng}
}