![](/images/graphics-bg.png)
Tackling Complexity in Green Contractor Selection for Mega Infrastructure Projects: A Hesitant Fuzzy Linguistic MADM Approach with considering Group Attitudinal Character and Attributes’ Interdependency
Joint Authors
Zhang, Jun-Ling
Qi, Xiao-Wen
Liang, Changyong
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-31, 31 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-02
Country of Publication
Egypt
No. of Pages
31
Main Subjects
Abstract EN
Continuous environmental concerns regarding construction industry have been driving general constructors of mega infrastructure projects to incorporate green contractors.
Although conventional multiple attributes decision-making (MADM) methodologies have provided feasible ways to select contractor, high complexity in scenarios of megaprojects still challenges existing MADM methods in concurrently accommodating three key issues of decision hesitancy, attributes interdependency, and group attitudinal character.
To elicit decision-makers’ hesitant fuzzy assessments more objectively and comprehensively, we define an expression tool called interval-valued dual hesitant fuzzy uncertain unbalanced linguistic set (IVDHF_UUBLS) and develop aggregation operators through its operations.
To exploit attributes interdependency, we establish a synthesized attributes’ weighting model to fuse an attributes interdependency-based weighting vector and an argument-dependent weighting vector, which are, respectively, derived through Decision-Making and Trial Evaluation Laboratory (DEMATEL) technique and maximizing deviation method.
To effectively utilize decision-makers’ group attitudinal characters, we also develop a TOPSIS-based method to rationally transform group ideal attitudes into order-inducing vectors.
On the strength of the above methods, an integrated MADM approach is then constructed.
Finally, illustrative case study and experiments are conducted to validate our approach.
American Psychological Association (APA)
Zhang, Jun-Ling& Qi, Xiao-Wen& Liang, Changyong. 2018. Tackling Complexity in Green Contractor Selection for Mega Infrastructure Projects: A Hesitant Fuzzy Linguistic MADM Approach with considering Group Attitudinal Character and Attributes’ Interdependency. Complexity،Vol. 2018, no. 2018, pp.1-31.
https://search.emarefa.net/detail/BIM-1134426
Modern Language Association (MLA)
Zhang, Jun-Ling…[et al.]. Tackling Complexity in Green Contractor Selection for Mega Infrastructure Projects: A Hesitant Fuzzy Linguistic MADM Approach with considering Group Attitudinal Character and Attributes’ Interdependency. Complexity No. 2018 (2018), pp.1-31.
https://search.emarefa.net/detail/BIM-1134426
American Medical Association (AMA)
Zhang, Jun-Ling& Qi, Xiao-Wen& Liang, Changyong. Tackling Complexity in Green Contractor Selection for Mega Infrastructure Projects: A Hesitant Fuzzy Linguistic MADM Approach with considering Group Attitudinal Character and Attributes’ Interdependency. Complexity. 2018. Vol. 2018, no. 2018, pp.1-31.
https://search.emarefa.net/detail/BIM-1134426
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1134426