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ACCURACY EVALUATION ON FUZZY SET CLASSIFICATION METHOD FOR HIGH SPATIAL RESOLUTION REMOTE SENSING DATA
Fuzzy set Classification High spatial resolution remote sensing data
2015/12/31
In the paper, a novel method for high spatial remote sensing data classification was put forward. The method was based on fuzzy set theory combined with NDVI. The classification experiments were carri...
Reducing the subjectivity of intensity estimates: the Fuzzy Set approach
macroseismic intensity fuzzy sets Mugello Garfagnana
2015/9/30
We describe a method for the encoding and the computer analysis of the macroseismic effects deduced from historical sources allowing the complete formalization of the process of seismic intensity asse...
Bio-Piracy or Prospering Together?Fuzzy Set and Qualitative Analysis of Herbal Patenting by Firms
Rents From New Technology Local Stakeholders Herbal Patents QCA Fuzzy Set Analysis
2015/4/29
Since the 1990s, several Western firms have filed patents based on medicinal herbs from emerging markets, evoking protests from local stakeholders against 'bio-piracy'. We explore conditions under whi...
Rainfall Prediction Model Improvement by Fuzzy Set Theory
Fuzzy Sets Prediction Rainfall Water Resources
2013/3/18
This paper presents the improvement of the fuzzy inference model primarily developed for predicting rainfall with data from United States Department of Agriculture (USDA) Soil Climate Analysis Network...
The traditional set theory is constructed on the steady state, the bivalent logic and the fixed set boundary. However, the development of fuzzy set or rough set inspires us that an element, which memb...
Fuzzy set based error measure for hydrologic model evaluation
Fuzzy set error measure hydrologic model evaluation
2009/12/4
Traditional error measures (e.g. mean squared error, mean relative error) are often used in the field of water resources to evaluate the performance of models developed for modeling various hydrologic...
Analysis of Cotton Maturity Degree on the Basis of Microstructure Level by Fuzzy Set Conception
similarity measure cotton fracture maturity
2009/2/17
This paper is a continuation and generalisation of an earlier study of cotton maturity degree determination in the earlier paper. Up till now the maturity degree of cotton has been determined by the a...
Applying Notions and Methods of Fuzzy Set Theory to Analysis of Microstructure of Cotton Fracture
cotton fibres fibre fracture microstructure maturity fuzzy set theory SEM images.
2009/2/12
The degree of cotton maturity is a significant parameter characterising the properties of a fibre. Many textile properties depends on the degree of cotton maturity. A frequently applied method for det...