Affiliations: [a]
Business School, University of Shanghai for Science and Technology, Shanghai, P.R. China | [b] The Faculty of Social Sciences, Economics and Business, Johannes Kepler University Linz, Austria
Correspondence:
[*]
Corresponding author. Longbo Du, Business School, University of Shanghai for Science and Technology, Shanghai, P.R. China. Tel./Fax: +86 0536 7256361; E-mail: dulongb1@sina.com.
Abstract: In recent years, China’s real estate investment behavior with the market economy has been developing steadily and has become increasingly frequent. Real estate investment is a long construction period, huge investment, influence factors and complex activity, and the real estate enterprise is faced with increasingly fierce competition. How the scheme selection of more scientific, reasonable, comprehensive evaluation analysis of the investment plan, select the optimal scheme, is the key to win investment, is also the most critical problem facing investors. In this paper, we study on the multiple attribute decision making for real estate investment with hesitant fuzzy information. Inspired by the dependent aggregation, we propose the dependent hesitant fuzzy Hamacher weighted average (DHFHWA) operator, where the weights rely on the aggregated hesitant fuzzy arguments and can lower the influence of unfair hesitant fuzzy arguments on the aggregated results by allocating low weights to the “false” and “biased” ones and then utilize them to design this approach for multiple attribute decision making with hesitant fuzzy information. In the end, an example of real estate investment is proposed to testify our method.
Keywords: Multiple attribute decision making, hesitant fuzzy information, dependent hesitant fuzzy Hamacher weighted average (DHFHWA) operator, real estate investment
