A Matrix Aggregation Intelligent Decision Based on H-Convex Combination and Expert Preference. Issue 7 (March 2020)

• Record Type: Journal Article
• Authors: Li, Wei; Zhang, Mingsheng; Chen, Deqiang; Luo, Shan
• Is Part Of: IOP conference series. Volume 768:Issue 7(2020)
• Publication Date: 2020-03
• Subjects: Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/768/7/072102
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: In the field of multi-dimensional intelligent decision-making, the evaluation results rely on the subjective experience of the evaluation experts. However, the evaluation information generated by personal expert preferences can has certain impact on the decision-making results.For this problem, we present an intelligent decision model based on H-convex combination and expert preference. The H-convex combinatorial matrix algorithm is used to assemble the individual judgment matrices, which reduces the inconsistency and non-reciprocity of the group decision matrix. The expert preference quantization formula is used to obtain the preference values of the corresponding experts, which are taken into the H-convex combination as power exponents. This solves the impact of expert preference differences on decision outcomes. The feasibility and effectiveness of the proposed method are verified by some evaluation cases.