Neutrosophic Cognitive Maps for Situation Analysis

• Published in: Neutrosophic sets and systems Vol. 29; pp. 78 - 88
• Main Authors: Zafar, Aasim, Wajid, Mohd Anas
• Format: Journal Article
• Language: English
• Published: Neutrosophic Sets and Systems 01.01.2019; University of New Mexico
• Subjects: Bribery; Iran; Nigeria; Unemployment; Iran; Nigeria
• ISSN: 2331-6055; 2331-608X
• DOI: 10.5281/zenodo.3514407

There are various factors which lead to the criminal behaviour in humans. Prominent researchers monitoring the situation of crime in Nigeria cite poverty, unemployment, family-breakdown, bribing & corruption, lack of co-operation from public and negative perception of police to be the major causes behind criminal behaviour. The factors like underemployment, inadequate equipment, NGOs are not taken into account by the researchers because these are considered to be indeterminate. To show how these indeterminate factors are actually related to crime in Nigeria we model the situation mathematically using FCMs and NCMs. The work also shows how efficient is the technique of Neutrosophic Cognitive Maps (NCM) against Fuzzy Cognitive Maps (FCM) to deal with the uncertainties and indeterminacy in Situation Analysis. The obtained results are interpreted which demonstrate the importance of indeterminate factors in analysing the situation of crime in Nigeria. This shows how indeterminate factors when taken into consideration could enhance the accuracy and efficiency of mathematical models using the concept of Neutrosophic Cognitive Maps. Keywords: Fuzzy logic, Fuzzy Cognitive Maps, Neutrosophy, Neutrosophic Cognitive Maps, Situation Analysis, Crime in Nigeria.