Improving Interior Design Quality Evaluation With Advanced Cross-Entropy Technique in Triangular Fuzzy Neutrosophic Multiple-Attribute Decision-Making

Society is constantly developing, and people's economic level is also constantly improving. The quality of life and requirements are also increasing, and the quality of living environment is becoming more stringent. The interior design quality evaluation is viewed as the MADM. In this work, the triangular fuzzy neutrosophic number cross-entropy (TFNN-CE) technique is constructed in line with cross-entropy and triangular fuzzy neutrosophic sets (TFNSs). Then, the TFNN-CE technique is constructed to solve the MADM. Finally, a numerical example for interior design quality evaluation is constructed and serval comparisons are constructed to illustrate the advantages of put forward technique. The key contribution of this study is constructed: (1) the TFNN-CE model is put forward under TFNSs; (2) the TFNN-CE model is put forward for MADM under TFNSs; (3) the TFNN-CE model for interior design quality evaluation is put forward; (4) through employing serval comparisons, it is put forward that TFNN-CE model is effective for interior design quality evaluation.