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Published on: March 9, 2015
Fuzzy-defined entities: A key concept to strengthen forensic science foundations?
Lionel Brocard1, David-Olivier Jaquet-Chiffelle1
1University of Lausanne, Lausanne, Switzerland.
Forensic science traditionally assumes entity uniqueness, but this paper introduces "fuzzy entities" to account for inherent imprecision. This concept challenges existing principles, proposing a new "fuzzy unicity" for stronger forensic foundations.
Area of Science:
- Forensic science
- Legal investigations
- Evidence analysis
Background:
- The Sydney Declaration defines forensic science as the study of traces for understanding events of public interest.
- Forensic science establishes relationships between entities (persons, objects, traces) and events with legal implications.
- Traditionally, uniqueness of entities has been a core principle in forensic science.
Purpose of the Study:
- To challenge the traditional assumption of absolute entity uniqueness in forensic science.
- To introduce the concept of "fuzzy entities" to formally incorporate uncertainty and imprecision.
- To propose a new principle, "fuzzy unicity," to replace Kirk's principle of individuality.
Main Methods:
- Conceptual analysis of entity characteristics and their variability.
- Introduction of the "fuzzy entity" concept to model inherent uncertainty.
- Revisiting and proposing an alternative to Kirk's principle of individuality.
Main Results:
- Demonstrates that entity uniqueness is illusory due to spatial, temporal, and observational variations.
- Defines "fuzzy entities" to formally represent essential uncertainty and imprecision.
- Proposes the "principle of fuzzy unicity" as a more accurate representation of reality in forensic science.
Conclusions:
- The concept of "fuzzy entities" offers a new perspective on forensic science principles.
- Replacing the principle of individuality with "fuzzy unicity" can strengthen forensic science foundations.
- This approach has the potential to harmonize various forensic science disciplines.
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