Valuation The Non-market Goods Based On Intuitionistic Fuzzy Clustering And Rough Set Theory

Non-market valuation technique is to carry out environmental goods or public goods characteristics of ecosystem services. During valuation the non-market goods, we consider the natural attributes, economic attributes, and social attributes to se-lect survey areas. Considering the various importance of the different attributes, using rough set theory to couple different attributes of fuzzy information tables or information tables. We select areas based on rough sets attribute importance of fuzzy clustering method and give intuitionistics fuzzy random utility maximization, using it we calculate the sum benefit of non-market goods. When we valuation the non-market goods, the personal attributes of respondents only deal with under sta-tistical significance, ignoring the impact of personal attributes and the project itself influence to the respondents. In this situation the valuation of non-market goods be consider as imaginary, and hypothetical market participants in response to the real problem difference from the real market, then the willingness to pay and will-ingness not to pay in imaginary nature of investigation led to inconsistency with the real situation. With the help of fuzzy linguistic variables to determine the certainty of respondents through weighted aggregation, which can reduce hypothetical bias. Finally, a numerical example is given.