Li, L; Luan, H; Yuan, M and Zheng, R (2025) Knowledge fusion-driven sustainable decision-making for mega transportation infrastructure projects. Engineering, Construction and Architectural Management, 32(8), pp. 5508-5533. ISSN 0969-9988
Abstract
Purpose – As the scale of mega transportation infrastructure projects (MTIs) continues to expand, the complexity of engineering construction sharply increases and decision-making sustainability faces severe challenges. Decision-making for mega transportation infrastructure projects unveils the knowledge-intensive characteristic, requiring collaborative decisions by cross-domain decision-makers. However, the exploration of heterogeneous knowledge fusion-driven decision-making problems is limited. This study aims to improve the deficiencies of existing decision-making by constructing a knowledge fusion-driven multi-attribute group decision model under fuzzy context to improve the sustainability of MTIs decision-making. Design/methodology/approach – This study utilizes intuitionistic fuzzy information to handle uncertain information; calculates decision-makers and indicators weights by hesitation, fuzziness and intuitionistic fuzzy entropy; applies the intuitionistic fuzzy weighted averaging (IFWA) operator to fuse knowledge and uses consensus to measure the level of knowledge fusion. Finally, a calculation example is given to verify the rationality and effectiveness of the model. Findings – This research finally constructs a two-level decision model driven by knowledge fusion, which alleviates the uncertainty and fuzziness of decision knowledge, promotes knowledge fusion among cross-domain decision-makers and can be effectively applied in practical applications. Originality/value – This study provides an effective decision-making model for mega transportation infrastructure projects and guides policymakers.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | cross-domain decision-making; knowledge fusion; mega transportation infrastructure; sustainable development |
| Index terms: | entropy, rationality, sustainable development, face, exploration, decision-making, methodology, complexity, transportation infrastructure, effectiveness |
| Subjects: | psychology, environmental resource management, health safety and environment, decision-making and reasoning, research methods, infrastructure and transport systems, thermal systems, systems engineering, decision analysis, performance management |
| Topics: | Health and Safety, Engineering Principles, Risk Management, Sustainability, Quality Management, Research Practice, Organizational Design |
| Descriptive scope: | 3 PCT |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here