Approach to record linking in technology of concrete historical investigation support based on fuzzy sets

The article is devoted to the further development of the distributed technology of concrete historical investigation support based on the principles of crowdsourcing and focused on a wide range of users which are nonprofessional historians and biographers. The development is carried out by modifying the algorithm for automatic record linking when processing nominative documents of family structure based on the Family reconstitution method, successfully used in historical demography, and the structure of family relationship graphs. The modification consists in relying on the theory of fuzzy sets and using the similarity measures to make a decision about records linking in the case when the algorithms of the family reconstitution method do not allow an unambiguous conclusion about the linkage. The article describes the methodology for constructing membership functions and substantiates the use of a similarity measure based on the Lukasiewicz and Zade similarity measures.