ScieXplore: International Journal of Research in Science

Open Access Open Access  Restricted Access Subscription Access

An Analysis on the Effects of Environmental Disaster Using Pooled Disjoint Block Triangular Fuzzy Cognitive Maps


Affiliations
1 Department of Mathematics, Arul Anandar College (Autonomous), Karumathur - 625514, Tamil Nadu, India
 

Nature is a gift of god to man who enjoys its benefits to great extent without resource restoration. This act of human has caused environmental degradation which has now resulted in environmental disasters such as climate change, loss of biological diversity, desertification, pollution, ozone depletion and accumulation of organic pollutants. The effects of these catastrophes on the surroundings make it unfit for the living beings to survive. People are not aware of the real effects of such calamities to the fullest, if there is deficit of any resources they instantly opt for alternatives without taking any steps for refurbishment. This attitude has to be changed by making them to understand the consequences of environmental disaster are not to be negligible but to be cautious for which Pooled Disjoint Fuzzy Cognitive maps is used. As this method was applied for several analyses earlier, it has now been modified with the inclusion of Triangular- fuzzy numbers to deal the precision variables. In this method the impact is quantified not with numerical values but with linguistic variables so as to determine the effects of environmental disaster in a most profound manner. This method indeed finds the impacts of the effects over each other and their interrelation so as to formulate preventive steps for it at the earliest to create green world.

Keywords

Environmental Disaster, Linguistic Variables, Pooled Disjoint Block Fuzzy Cognitive Maps, Triangular Fuzzy Numbers.
User
Notifications
Font Size


  • Toffel MW. End-of-life product recovery: Prior research and future directions [Working paper]. Berkely: Haas School of Business, University of California; 2002. Available from: http://www.toffel.com

  • Ferguson ME, Toktay LB. The effect of competition on recovery strategies. Production and Operations Management. 2006; 15(3):351–68.

  • Kovacs G. Corporate environmental responsibility in the supply chain. Journal of Cleaner Production. 2008; 16(15):1571–8.

  • Sarkis J, Zhu QH, Lai KH. An organizational theoretic review of green supply chain management literature. International Journal of Production Economics. 2011; 130(1):1–15.

  • Vachon S, Klaseen RD. Supply chain management and environmental technologies: the role of integration. International Journal of Production Research. 2007; 45(2):401–23.

  • Chin MCA. Identifying communities in blogs: Roles for social network analysis and survey instruments. International Journal of Web Based Communities. 2007; 3(3):345–63.

  • Del Pozo M, Manuel C, González-Arangüena E, Owen G. Centrality in directed social networks. A game theoretic approach. Social Networks; 2011.

  • Freeman LC. Centrality in social networks conceptual clarification. Social Networks. 1978; 1(3):215–39.

  • Chen J, Saad Y. Finding dense subgraphs for sparse undirected, directed and bipartite graph. Minnesota: University of Minnesota Twin Cities; 2009.

  • Obiedat M, Sandhya S, Strickert G. A new method for identifying the central nodes in fuzzy cognitive maps using consensus centrality measure. 19th International Congress on Modeling and Simulation; Perth, Australia, 2011 Dec 12-16.p.1084–91.

  • Kosko B. Fuzzy associative memory systems, Kandel A, editor. Fuzzy Expert Systems. Boca Raton: CRC Press; 1992a. p. 135–62.

  • Kosko B. Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence. Englewood Cliffs, NJ: Prentice-Hall; 1992b.

  • Herrera F, Martinez L. An approach for combining linguistic and numerical information based on the 2-tuple fuzzy linguistic representation model in decision-making. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems. 2000b; 8(5):539–62.

  • Delgado M, Verdegay JL, Vila MA. On aggregation operations of linguistic labels. International Journal of Intelligent Systems. 1993; 8(3):351–70. DOI: 10.1002/int.4550080303.

  • Botafogo RA, Rivlin E, Shneiderman B. Structural-analysis of hypertexts identifying hierarchies and useful metrics. ACM Transactions on Information Systems. 1992; 10(2):142–80.

  • Kaligarani J, Martin N, Meenakshi M. Causes of math anxiety in engineering students-an analysis using Induced Fuzzy Cognitive Maps (IFCM) with TOPSIS. Global Journal of Pure and Applied Mathematics. 2015; 11(5):2705–18.

  • Martin N, Kaligarani J, Meenakshi M. An analysis of driving performance error using Fuzzy Triangular four matrix of success and new hexagonal fuzzy number in Fuzzy Cognitive maps. International Journal of Applied Engineering Research. 2015; 10(85):423–9.

  • Martin N, Gandhi NR, Pandiammal P. Bio-friendly EPQ inventory model incorporating the cost of green energy to create light pollution free society. International Journal of Applied Engineering Research. 2015; 10(85):430–8.

  • Martin N, Ritha W. Environmental oriented inventory model and benefits of incineration as waste disposal method. Ariyabhatta Journal of Mathematics. 2014; 5(1):159–64.


Abstract Views: 505

PDF Views: 333




  • An Analysis on the Effects of Environmental Disaster Using Pooled Disjoint Block Triangular Fuzzy Cognitive Maps

Abstract Views: 505  |  PDF Views: 333

Authors

Nivetha Martin
Department of Mathematics, Arul Anandar College (Autonomous), Karumathur - 625514, Tamil Nadu, India

Abstract


Nature is a gift of god to man who enjoys its benefits to great extent without resource restoration. This act of human has caused environmental degradation which has now resulted in environmental disasters such as climate change, loss of biological diversity, desertification, pollution, ozone depletion and accumulation of organic pollutants. The effects of these catastrophes on the surroundings make it unfit for the living beings to survive. People are not aware of the real effects of such calamities to the fullest, if there is deficit of any resources they instantly opt for alternatives without taking any steps for refurbishment. This attitude has to be changed by making them to understand the consequences of environmental disaster are not to be negligible but to be cautious for which Pooled Disjoint Fuzzy Cognitive maps is used. As this method was applied for several analyses earlier, it has now been modified with the inclusion of Triangular- fuzzy numbers to deal the precision variables. In this method the impact is quantified not with numerical values but with linguistic variables so as to determine the effects of environmental disaster in a most profound manner. This method indeed finds the impacts of the effects over each other and their interrelation so as to formulate preventive steps for it at the earliest to create green world.

Keywords


Environmental Disaster, Linguistic Variables, Pooled Disjoint Block Fuzzy Cognitive Maps, Triangular Fuzzy Numbers.

References





DOI: https://doi.org/10.15613/sijrs%2F2016%2Fv3i1%2F136476