Intuitionistic Fuzzy Multi Criteria Decision Making Approach to Crime Linkage Using Resemblance Function
| Autor: | Soumendra Goala, Pranjal Talukdar, Palash Dutta |
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| Rok vydání: | 2019 |
| Předmět: |
Operations research
Computer science Process (engineering) Applied Mathematics media_common.quotation_subject Intuitionistic fuzzy 010103 numerical & computational mathematics 02 engineering and technology Linkage (mechanical) 01 natural sciences Multi criteria decision law.invention Computational Mathematics law Psychological level 0202 electrical engineering electronic engineering information engineering Computational Science and Engineering 020201 artificial intelligence & image processing 0101 mathematics Set (psychology) Function (engineering) media_common |
| Zdroj: | International Journal of Applied and Computational Mathematics. 5 |
| ISSN: | 2199-5796 2349-5103 |
| Popis: | Serial Crimes cost a lot to our society and leave very appalling impact on our society in psychological level. Furthermore, the investigations are often very troublesome in the absence of reliable evidences. From a large number of criminal cases of similar types it is difficult to find the crimes that were committed by the same offenders. Crime linkage is the step by step process by which an investigator studies and detects the crimes related by common offenders. In this paper, a new idea of resemblance among a set of intuitionistic fuzzy set has been introduced. In addition, an intuitionistic fuzzy multi criteria decision making approach has been used to perform crime linkage analysis. This methodology will enable an investigator to find degree of extent for sharing of a common offender or offenders. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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