Pythagorean interval ۲-tuple linguistic VIKOR method for evaluating human factors in construction project management

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نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:

JR_IJFS-17-6_008

تاریخ نمایه سازی: 30 خرداد 1400

Abstract:

In a construction project, there are many factors that affect the project quality, such as people, materials, machinery, environment, etc. Among them, people have the greatest influence on the project quality, whether people participate directly or indirectly. This paper mainly evaluates human factors in the process of construction project management, such as workers’ proficiency, workers’ safety awareness, technical workers’ quality, and workers’ emergency capacity, with the purpose of helping China’s construction project to proceed smoothly. In this manuscript, a multi-attribute group decision-making (MAGDM) technique based on Pythagorean interval ۲-tuple linguistic numbers (PI۲TLNs) and VIKOR method is proposed to evaluate human factors in construction projects. PI۲TLNs are used to represent performance assessments of decision makers. Relying on Pythagorean interval ۲-tuple linguistic weighted averaging (PI۲TLWA)/Pythagorean interval ۲-tuple linguistic weighted geometric (PI۲TLWG) operator, the evaluation information given by experts is fused into a group decision matrix. Combined with the essential VIKOR method, PI۲TLN-VIKOR’ framework is established. The effectiveness of this method is verified by an example, and compared with two algorithms and PI۲TLN-TODIM method.

Keywords:

Multiple attribute group decision making (MAGDM) , Pythagorean interval ۲-tuple linguistic numbers (PI۲TLNs) , VIKOR method , construction project management

Authors

T. He

School of Business, Sichuan Normal University, Chengdu, ۶۱۰۱۰۱, P.R. China

G. Wei

School of Business, Sichuan Normal University, Chengdu, ۶۱۰۱۰۱, P.R. China

R. Lin

School of Economics and Management, Chongqing University of Arts and Sciences, Chongqing ۴۰۲۱۶۰, China

J. Lu

School of Business, Sichuan Normal University, Chengdu, ۶۱۰۱۰۱, P.R. China

C. Wei

School of Statistics, Southwestern University of Finance and Economics, Chengdu, ۶۱۱۱۳۰, P.R. China

J. Wu

School of Statistics, Southwestern University of Finance and Economics, Chengdu, ۶۱۱۱۳۰, P.R. China