Conceptual filters for data quality assurance - Implementation of fuzzy logic in oceanographic data quality assurance

Uslu O.

NATO Advanced Research Workshop on Integrated Approach to Environmental Data Management Systems, BORNOVA, Turkey, 16 - 20 September 1996, vol.31, pp.215-230 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 31
  • City: BORNOVA
  • Country: Turkey
  • Page Numbers: pp.215-230
  • Dokuz Eylül University Affiliated: No


Environmental information is the result of extremely complicated natural processes. This information enhances our understanding of the underlying phenomena. Collection and processing of oceanographic data involve a complex sequence of events. At every stage of this process, human, instrumental, analytical, data processing and retrieval errors of different nature and origins may occur. Data quality assurance should therefore be a basic step to safeguard the reliability of information. In the papa, some basic approaches of conceptual nature are introduced. Every data set passes through several tests. Examples of these are: basic laws of nature, prior conceptual knowledge of relevant processes, mass balances, extreme events and empirical crosscorrelations between measured parameters. These tests of data credibility are formulated in fuzzy logic that constitutes the unifying method in the adopted approach. Brief introduction to fuzzy logic is also given.