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A solution to Control Suicides using Combined Overlap Block Fuzzy Cognitive Maps
Author(s) -
P. Thiruppathi,
N. Saivaraju,
K. S. Ravichandran
Publication year - 2010
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/1558-2079
Subject(s) - computer science , block (permutation group theory) , fuzzy cognitive map , cognition , control (management) , fuzzy logic , artificial intelligence , data mining , fuzzy control system , neuro fuzzy , mathematics , medicine , psychiatry , geometry
Fuzzy Cognitive Maps (COBFCMs), defined by W.B.VasanthaKandasamy ,is analyzed in this paper. The Combined Overlap Block FCMs defined in this method becomes effective when the number of concepts can be grouped and are large in numbers. In this paper we analyzed the problem and find out the major reason for suicides using neutrosophic tool. This paper has five sections. First section gives the information about development of Fuzzy Cognitive Maps. Second section gives preliminaries of Fuzzy Cognitive Maps and Combined Overlap Block Fuzzy Cognitive Maps. In section three, we explain method of determining the hidden pattern. In the fourth section, we give the concepts of problem. Final section gives the conclusion based on our study.

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