Abstract: Identifying the Cause of Using Endosulfan in Agriculture by Induced Fuzzy Cognitive Maps (IFCMs) Approach
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064

Downloads: 96

Research Paper | Mathematics | India | Volume 3 Issue 11, November 2014

Identifying the Cause of Using Endosulfan in Agriculture by Induced Fuzzy Cognitive Maps (IFCMs) Approach

Dr. K. Sivakamasundari, Smitha M. V.

In this article we study to identify the cause of using Endosulfan in agriculture which leads to most dangerous side effects in human beings faced by the people of South Indian State of Kerala, Kasargode and Palakkad District using Induced Fuzzy Cognitive Maps (IFCMs). We have interviewed 101 Endosulfan victims in the area of Palakkad and Kasargod District of Kerala. This research investigates the most identifying, the cause of using Endosulfan in agriculture by using IFCMs. IFCMs are a fuzzy graph modeling approach based on experts opinion. This is non statistical approach to study the problems with imprecise information.

Keywords: Fuzzy Cognitive Maps, Induced FCMs, Pesticide Endosulfan

Edition: Volume 3 Issue 11, November 2014

Pages: 2151 - 2155

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How to Cite this Article?

Dr. K. Sivakamasundari, Smitha M. V., "Identifying the Cause of Using Endosulfan in Agriculture by Induced Fuzzy Cognitive Maps (IFCMs) Approach", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=OCT141330, Volume 3 Issue 11, November 2014, 2151 - 2155

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