Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Affiliations: Hubei Industrial Construction Group Co., Ltd (HICC), Wuhan, Hubei, P.R. China
Correspondence: [*] Corresponding author. Lin Liu. E-mail: [email protected].
Abstract: With the rapid development of the construction industry, people’s requirements for the construction quality continue to improve, and the supervision and management of the construction project quality has been paid more and more attention. The perfect quality supervision and management system is not only an important guarantee for the whole construction project implementation process, but also provides support for the smooth implementation of the construction project. With the increasing number of high-rise buildings in cities and the increasing difficulty of construction, it has posed great challenges to the construction industry, which also means that the quality supervision and management of construction projects are facing new challenges. Therefore, the project quality supervision and management department should review the situation, optimize the quality supervision and management work according to the current situation and needs of the construction project development, effectively improve the system guarantee and content optimization, maximize the role of quality supervision and management, and provide assistance for the high-quality and sustainable development of the construction industry. The quality evaluation of construction project is a classical multiple attribute group decision making (MAGDM). In this paper, we extended multi-attributive border approximation area comparison (MABAC) method for MAGDM with Pythagorean 2-tuple linguistic sets (P2TLSs). Firstly, a brief review of the definition of P2TLSs is given. Next, two aggregation operators of P2TLSs are used to fuse overall evaluation information. Moreover, combining traditional MABAC model with P2TLSs, Pythagorean 2-tuple linguistic number MABAC (P2TLN-MABAC) is built with all computing steps depicted in detail. Furthermore, a numerical example related to quality evaluation of construction project is conducted to demonstrate the effectiveness of the proposed method. Finally, some comparisons with P2TLWA and P2TLWG operators are also carried out.
Keywords: Multiple attribute group decision making (MAGDM), Pythagorean 2-tuple linguistic sets (P2TLSs), MABAC method, quality evaluation, construction project
DOI: 10.3233/JIFS-230963
Journal: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 1, pp. 593-602, 2023
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]