Comparison of depth profiles in SIMS by a fuzzy method

Otto, M. Alexander; Stingeder, Gerhard; Piplits, K.; Grasserbauer, M.; Heinrich, Michael

doi:10.1007/bf01242087

Cited by 4 publications

(2 citation statements)

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“…The theory has grown very quickly. [4][5][6] Until now the greatest part of successful application of fuzzy set theory in chemistry has been devoted to fields such as pattern recognition problems [7][8][9][10][11][12] and clustering, [13][14][15][16] calibration of analytical methods, [17][18][19] and recently to the design of fuzzy expert systems [20][21][22][23][24][25] and neural networks. 26 The fuzzy divisive hierarchical clustering method proposed in ref 27 has been used for acrylonitrile selectivity, [28][29][30] for mineral waters classification, [31][32][33] for the selection and the optimal combination of solvents, 34,35 and for the classification of Roman pottery 36 and Greek muds and pelloids.…”

Section: Theoretical Considerationsmentioning

confidence: 99%

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A Fuzzy Classification of the Chemical Elements

Pop

Sârbu

Horowitz

et al. 1996

J. Chem. Inf. Comput. Sci.

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The fuzzy clustering algorithm is applied in order to obtain the cluster structure of the chemical elements, based on their physical, chemical, and structural properties. The results obtained with the fuzzy method are consistent with the chemical behavior of the elements and with the predictions based on their electronic structure. An IBM-PC computer has been used to run the corresponding program written in Pascal. Moreover, the results suggest some new untrivial relationships between chemical elements according to the gradual nature of their properties.

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Section: Theoretical Considerationsmentioning

confidence: 99%

“…Until now the greatest part of successful application of fuzzy set theory in chemistry has been devoted to fields such as pattern recognition problems − and clustering, − calibration of analytical methods, − and recently to the design of fuzzy expert systems − and neural networks …”

Section: Theoretical Considerationsmentioning

confidence: 99%