What is it about?

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.

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Why is it important?

Use the new method to study the real estate investment

Perspectives

In this paper, we study on the multiple attribute decision making for real estate investment with hesitant fuzzy information

Longbo Du
University of Shanghai for Science and Technology

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This page is a summary of: Models for real estate investment decision-making with hesitant fuzzy information, Journal of Intelligent & Fuzzy Systems, August 2016, IOS Press,
DOI: 10.3233/jifs-152291.
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