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The Construction of Fuzzy Concept Lattices Based on (θ,σ)-Fuzzy Rough Approximation Operators

Yao Y., Li Z., Mi J., Xie B.

Fundamenta Informaticae

2011

Vol. 111, nr 1

33-45

Formal concept analysis and rough set analysis are two complementary approaches for analyzing data. This paper studies approaches to constructing fuzzy concept lattices based on generalized fuzzy rough approximation operators. For a residual implicator θ satisfying θa, b) = *theta;(1 -b, 1 -a) and its dual σ, a pair of (θ,σ)-fuzzy rough approximation operators is defined. We then propose three kinds of fuzzy operators, and examine some of their basic properties. Thus, three complete fuzzy concept lattices can be produced, for which the properties are analogous to those of the classical concept lattices.

Investigation of pyrolysis behavior of fenoxycarb using PY-GC-MS assisted with chemometric methods

Wang G., Hou Z., Sun Y., Liu Y., Xie B., Liu S.

Chemia Analityczna

2007

Vol. 52, No. 1

141-156

Fenoxycarb is a carbamate-type insect growth regulator. To investigate its pyrolysis behavior, it was pyrolysed at 600°C, 750°C and 9QQ°C. Pyrolysate was directly subjected to GC-MS analysis. The separated components were identified using probability-based matching procedure followed by correlation of the boiling point- Lee retention index. It has been shown that (Py-GC-MS) pyrolysis assisted with chemometric methods is an effective technique for the investigation of carbamate pesticide pyrolysis, 84 components were determined in pyrolysate, which included the products of thermal decomposition of fenoxycarb, a variety of monoaromatics, polycyclic aromatic hydrocarbons, and other oxygenous or nitrogenous compounds. Determination of the components of pyrolysates may provide useful information for understanding of the pyrolysis mechanism of fenoxycarb and other carbamate pesticides.