Affiliations: [a]
Department of Management and Economics, Tianjin University, Nankai District, Tianjin, China
| [b]
Department of Basic Courses, Tianjin Sino-German University of Applied Sciences, Haihe Education Park, Include country, Tianjin, China
| [c]
College of Letters and Science, University of California-Davis, Davis, CA, USA
Correspondence:
[*]
Corresponding author. Pinyue Wang, Department of Management and Economics, Tianjin University, Tianjin 300072, China. Tel./Fax: +86 022 28776228; E-mail: [email protected].
Abstract: In the past decade, the public–private partnership (PPP) has been more widely used in worldwide infrastructure construction. Traditional PPP project evaluation methodologies have been incapable of effectively solving the two-sided matching problem between government and enterprises. In this study, we first constructed a bilateral matching satisfaction index system for the PPP project at both the government and enterprise levels, and established the matching satisfaction judgment matrices of the two sides via intuitionistic fuzzy numbers. Considering the influence of multiple attribute decision-making relevance on the attributes of decision, we used the Choquet integral to match the satisfaction evaluation vectors of the two sides, and then obtained the final matching results by constructing a multi-objective decision model. Finally, a case study was implemented to illustrate the practicality and maneuverability of this method. The research results show that the intuitionistic fuzzy Choquet integral data fusion method, which uses a two-sided matching decision-making method for PPP projects, can effectively solve the problem of correlation among attributes in the decision-making process. Consequently, this method can provide a more scientific evaluation of the bilateral matching decision problem between the government and enterprises in PPP projects.
