{"title":"Knowledge fusion-driven sustainable decision-making for mega transportation infrastructure projects","authors":"Long Li, Haiying Luan, Mengqi Yuan, Ruiyan Zheng","doi":"10.1108/ecam-08-2023-0817","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>This study provides an effective decision-making model for mega transportation infrastructure projects and guides policymakers.</p><!--/ Abstract__block -->","PeriodicalId":11888,"journal":{"name":"Engineering, Construction and Architectural Management","volume":"7 1","pages":""},"PeriodicalIF":3.6000,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering, Construction and Architectural Management","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1108/ecam-08-2023-0817","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍：
ECAM publishes original peer-reviewed research papers, case studies, technical notes, book reviews, features, discussions and other contemporary articles that advance research and practice in engineering, construction and architectural management. In particular, ECAM seeks to advance integrated design and construction practices, project lifecycle management, and sustainable construction. The journal’s scope covers all aspects of architectural design, design management, construction/project management, engineering management of major infrastructure projects, and the operation and management of constructed facilities. ECAM also addresses the technological, process, economic/business, environmental/sustainability, political, and social/human developments that influence the construction project delivery process.
ECAM strives to establish strong theoretical and empirical debates in the above areas of engineering, architecture, and construction research. Papers should be heavily integrated with the existing and current body of knowledge within the field and develop explicit and novel contributions. Acknowledging the global character of the field, we welcome papers on regional studies but encourage authors to position the work within the broader international context by reviewing and comparing findings from their regional study with studies conducted in other regions or countries whenever possible.
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