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NCJ Number: 171263 Find in a Library
Title: Construction of Offender Profiles Using Fuzzy Logic
Journal: Policing  Volume:20  Issue:2  Dated:(1997)  Pages:408-418
Author(s): A Verma
Date Published: 1997
Page Count: 11
Type: Research (Theoretical)
Format: Article
Language: English
Country: United Kingdom
Annotation: Because police officers commonly receive descriptions of suspects that are fuzzy in nature, the author attempts to introduce the concept of fuzzy variables to criminal justice practitioners and to describe a fuzzy logic-based mathematical procedure that is capable of handling such variables.
Abstract: Fuzzy logic stipulates an element can be a member of a given set in an uncertain manner. Unlike classical mathematical set theory in which an element can only be in two situations, a member or not a member of some set, fuzzy logic generalizes the possibilities and introduces the concept of shades of membership patterns. Fuzzy logic incorporates the condition that an element is either a member or not a member of some set but also extends the condition by introducing the possibility of membership falling in mixed modes. Fuzzy logic theory and techniques are examined in the context of modeling offender profiles. The author indicates recognizing certain concepts and descriptions may be fuzzy in nature is important in helping investigators narrow down the list of suspects. In addition, fuzzy logic techniques can help police managers analyze data that are non-dichotomous and fuzzy in nature. Further, recognizing certain variables are fuzzy in nature can enhance police capabilities and improve the understanding of police behavior, actions, and organizational culture. The use of fuzzy logic techniques throughout the criminal justice system is discussed. 34 references
Main Term(s): Police research
Index Term(s): Criminology; Data analysis; Mathematical modeling; Offender profiles; Research methods; Suspect identification
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