A Decision-Making Method with Grey Multi-Source Heterogeneous Data and Its Application in Green Supplier Selection
Bibliographic Data
| ID | 15515983 |
|---|---|
| Authors | Huifang Sun (0000-0002-5854-3791, Nanjing University of Aeronautics and Astronautics, corresponding author), Yaoguo Dang (0000-0002-2763-6928, Nanjing University of Aeronautics and Astronautics), Wenxin Mao (0000-0001-8146-8833, Southeast University) |
| Year | 2018 |
| Volume | 15 |
| Issue | 3 |
| Pages | 446-446 |
| Publication date | 2018-03-03 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph15030446 |
| PMID | 29510521 |
| OpenAlex | W2790768174 |
| Language | EN |
| Citations received | 2 |
| References cited | 2 |
In view of the multi-attribute decision-making problem that the attribute values are grey multi-source heterogeneous data, a decision-making method based on kernel and greyness degree is proposed. The definitions of kernel and greyness degree of an extended grey number in a grey multi-source heterogeneous data sequence are given. On this basis, we construct the kernel vector and greyness degree vector of the sequence to whiten the multi-source heterogeneous information, then a grey relational bi-directional projection ranking method is presented. Considering the multi-attribute multi-level decision structure and the causalities between attributes in decision-making problem, the HG-DEMATEL method is proposed to determine the hierarchical attribute weights. A green supplier selection example is provided to demonstrate the rationality and validity of the proposed method
Algorithm · Basis (linear algebra · Data mining · Degree (music · Grey relational analysis · Kernel (algebra · Machine learning · Pattern recognition (psychology · Projection (relational algebra · Projection pursuit · Ranking (information retrieval · Selection (genetic algorithm · Sequence (biology · Statistics · Support vector machine · Computer Science · Evaluation and Optimization Models · Evaluation Methods in Various Fields · Mathematics · Multi-Criteria Decision Making · Artificial Intelligence
| Unique citing works | 2 |
|---|---|
| Citations per year | 0.25 |
| Citation span | 2018 - 2022 (5) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |