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On the Health Hazards of the Sugarcane Using IFRM Model

S.Johnson Savarimuthu,T.Pathinathan

Published in:   Vol. 3 Issue 3 Date of Publication:   December 2014
Page(s):   110-113 Publisher:   Integrated Intelligent Research (IIR)
DOI:   10.20894/IJCOA. SAI : 2014SCIA316F0819

In this paper, we use Induced Fuzzy Relational Map-pings (IFRM) to analyze the problem of health hazards faced by the sugarcane cultivators due to chemical pollution. Based on our study, we made conclusions and suggest some remedial measures.Fuzzy Models are mathematical tools. They have been intro-duced to study and analyze political decisions, neural net-works, social problems etc., [1,2,6]. Among the various fuzzy models, some of the important models which have been used to study these problems are Fuzzy Associative Memories(FAM), Fuzzy Cognitive Maps(FCM), Fuzzy Re-lational Maps(FRM) and Bi-directional Associative Memories(BAM)[3,4]. The FRM model was introduced because this model is more applicable when the data in the first place is an unsupervised one. It is used to model several types of problems varying from gastric appetite behavior, popular political development etc. It is also used to model in robotics like plant control. This model works on the opinion of experts.These models have been used to study various social problems. In particular, the problem of health hazards caused by chemical industries, the causes for school dropouts which ultimately lead to child labour have been studied in the literature. In order to bring out much stronger relationship among the attributes, a new modes called Induced Fuzzy Relational Maps(IFRM)was proposed.