Fuzzy Order-of-Magnitude Based Link Analysis for Qualitative Alias Detection

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Abstract

Numerical link-based similarity techniques have proven effective for identifying similar objects in the Internet and publication domains. However, for cases involving unduly high similarity measures, these methods usually generate inaccurate results. Also, they are often restricted to measuring over single properties only. This paper presents an order-of-magnitude based similarity mechanism that integrates multiple link properties to derive semantic-rich similarity descriptions. The approach extends conventional order-of-magnitude reasoning with the theory of fuzzy sets. The inherent ability of this work in computing-with-words also allows coherent interpretation and communication within a decision-making group. The proposed approach is applied to supporting the analysis of intelligence data. When evaluated over a difficult terrorism-related dataset, experimental results show that the approach helps to partly resolve the problem of false positives.
Original languageEnglish
Title of host publicationProceedings of the 25th International Workshop on Qualitative Reasoning
PublisherAssociation for the Advancement of Artificial Intelligence Press
Pages147-158
Number of pages12
Publication statusPublished - 27 Sept 2011
Event25th International Workshop on Qualitative Reasoning - Barcelona, United Kingdom of Great Britain and Northern Ireland
Duration: 16 Jul 201118 Jul 2011

Conference

Conference25th International Workshop on Qualitative Reasoning
Country/TerritoryUnited Kingdom of Great Britain and Northern Ireland
CityBarcelona
Period16 Jul 201118 Jul 2011

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