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Study Air Pollution Using Fuzzy Relational Maps


Author(s): Charles Robert Kenneth , J. Monica
Affiliation: Department of Mathematics,Loyola college,Chennai
Year of Publication: 2014
Source: International Journal of Computing Algorithm
     
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Citation: Charles Robert Kenneth, J. Monica. "Study Air Pollution Using Fuzzy Relational Maps." International Journal of Computing Algorithm 3.1 (2014): 75-79.

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


Keywords Fuzzy Relational Maps (FRM), sustainable development, air pollution.


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@article{Stu1459277, author = {Charles Robert Kenneth,J. Monica}, title = {Study Air Pollution Using Fuzzy Relational Maps}, journal={International Journal of Computing Algorithm}, volume={3}, issue={1}, issn = {2278-2397}, year = {2014}, publisher = {Scholarly Citation Index Analytics-SCIA}

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  • [8] Khoshoo,T.N.Perspectives in Environmental Management, Oxford & IBH Publishing Co.Pvt, Ltd, New Delhi, 1987.
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