Hostname: page-component-586b7cd67f-r5fsc Total loading time: 0 Render date: 2024-11-23T11:52:05.105Z Has data issue: false hasContentIssue false
  • English
  • Français

Fuzzy Sets and Inverted Search - Two Concepts for Compound Identification in Spectra

Published online by Cambridge University Press:  06 March 2019

Thomas Blaffert
Thomas Blaffert*
Affiliation:
Philips GmbH Forschungslaboratorium Hamburg, Vogt-Kölln-Strasse 30, D-2000 Hamburg 54, F.R.G.
Get access

Abstract

This paper describes a new approach to the interpretation of spectra with ‘fuzzy sets’ and a fast search algorithm for spectrum libraries, using a combination of this theory and the inverse search method. The concepts are applied in a computer program named CIF (Compound identification with Inverted search and Fuzzy sets) which is used in the current application for the interpretation of X-ray powder diffraction signals. The methods are readily applicable to other kinds of spectra such as IR, UV, chromatrography etc.

Type
I. J. D. Hanawalt Award Session on Search/Match Methods
Information
Advances in X-Ray Analysis , Volume 27: Thirty-Second Annual Conference on Applications of X-ray Analysis, August 1-5, 1983 , 1983 , pp. 27 - 34
Copyright
Copyright © International Centre for Diffraction Data 1983

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Nichols, M.C. (1980), Minicomputer Search/Matching:The Pros and Cons, Norelco Reporter, vol. 27, No. 1, p. 23–26.Google Scholar
2. Schreiner, W.N., Surdukowski, C., Jenkins, R. (1982), A New Search/Match/Identify Program for Qualitative Analysis with the Powder Diffractometer, J. Appl. Cryst., 15, 513–2.Google Scholar
3. Zadeh, L.A. (1965), Fuzzy Sets, Inform. Control, vol. 8, 338–2.Google Scholar
4. Johnson, G.G., Vand, V. (1967), A Computerized Powder Diffraction System, Ind. Eng, Chem., vol. 59, p. 19–51.Google Scholar
5. Frevel, L.K., Adams, C.E., Ruhberg, L.R. (1975), A Fast Search-Match Program for Powder Diffraction Analysis, J. Appl. Cryst. vol. 9, p. 199–204.Google Scholar
6. Nichols, M.C., Basinger, R.C. (1974), American Crystallographic Meeting, Berkeley, C.A.Google Scholar
7. Schreiner, Vf.N., Surdukowski, C., Jenkins, R. (1982), A Probability-Based Scoring Technique for Phase Identification in X-ray Powder Diffraction, J. Appl. Cryst., 15, p. 524–530.Google Scholar
8. Tian-Hui, L., Sai-Zhu, Z., Li-Jun, C., Xin-Xing, C. (1983), An improved program for searching and matching of X-ray powder diffraction patterns, J. Appl. Cryst., vol. 16, 150–2.Google Scholar