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International Journal of Computing Algorithm, Vol 3(1), June 2014
ISSN(Print):2278-2397
Website: www.ijcoa.com
Study Air Pollution Using Fuzzy Relational Maps
Charles Robert Kenneth, J.Monica
Department of Mathematics, Loyola College, Chennai
Abstract
The concept of Sustainable development based on an integrated view of environmental
policies and development strategies intends to minimize the risks and hazards to the
environment. The time has come for efforts to be made on the environmental front towards
sustainable development without endangering the ecological assets of the future generation.
In this paper we analyze the effects of health hazards in sustainable development of
agriculture using Fuzzy Associative Memories (FAM). We arrive at the conclusions by this
study how sustainable development is being affected by the pollutions.This paper has four
sections. In section one we recall the notion of Fuzzy Relational Maps (FRM) and its
properties. In section two we describe the problem. In Section three we adopt FRM to this
problem and analyze the problem. Section four gives the conclusions based on our study.

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Study Air Pollution Using Fuzzy Relational Maps

  • 1. International Journal of Computing Algorithm, Vol 3(1), June 2014 ISSN(Print):2278-2397 Website: www.ijcoa.com Study Air Pollution Using Fuzzy Relational Maps Charles Robert Kenneth, J.Monica Department of Mathematics, Loyola College, Chennai Abstract The concept of Sustainable development based on an integrated view of environmental policies and development strategies intends to minimize the risks and hazards to the environment. The time has come for efforts to be made on the environmental front towards sustainable development without endangering the ecological assets of the future generation. In this paper we analyze the effects of health hazards in sustainable development of agriculture using Fuzzy Associative Memories (FAM). We arrive at the conclusions by this study how sustainable development is being affected by the pollutions.This paper has four sections. In section one we recall the notion of Fuzzy Relational Maps (FRM) and its properties. In section two we describe the problem. In Section three we adopt FRM to this problem and analyze the problem. Section four gives the conclusions based on our study.