Evaluation of the Risk of Drug Addiction with the Help of Fuzzy Sets

• Main Authors: L. Rakesh, Aniket Ranjan, Manoranjan Kumar Singh
• Format: Article
• Language: English
• Published: Stefan cel Mare University of Suceava 2010-01-01
• Series: Journal of Applied Computer Science & Mathematics
• Subjects: Estimation; Classical set; Validation; Diagnostic test
• Online Access: http://jacs.usv.ro/getpdf.php?issue=9&paperid=917

The primary focus of this paper is to present a general view of the current applications of fuzzy logic in medical analogy of consumption of drugs. The paper also deals with the origin, structure and composition of fuzzy sets. We particularly review the medical literature using fuzzy logic. Fuzzy set theory can be considered as a suitable formalism to deal with the imprecision intrinsic to many real world problems. Fuzzy set theory provides an appropriate framework for the representation of vague medical concepts and imprecise modes of reasoning. We present two concrete illustrations to investigate the impact of the risk related to drug addictions, like smoking and alcohol drinking and thereby highlighting the social problem related to health.