Predicting Health Effects of Electromagnetic Pollution in Algeria Using Fuzzy Logic
[1]
Souad Boumaiza, Faculty of Nature and Life Sciences, Farhat Abbes University, Setif, Algeria.
[2]
Saddek Bouharati, Faculty of Nature and Life Sciences, Farhat Abbes University, Setif, Algeria; Intelligent Systems Laboratory, Faculty of Technology, Farhat Abbes University, Setif, Algeria.
[3]
Abdelouahab Bouzidi, Faculty of Nature and Life Sciences, Farhat Abbes University, Setif, Algeria.
[4]
Mohamed Lalaoui, Faculty of Exact and Applied Sciences, Oran University, Oran, Algeria.
Many countries have developed limits for public exposure values. However, there are no Algerian recommendations or laws governing electromagnetic pollution. This work aims to assess the exposure by measuring the electromagnetic field. Then, these results are compared with literature studies that treat the effects of electromagnetic field on public health. Because these reactions are characterized by uncertainty and imprecision, we found it useful to analyze these data by fuzzy logic. Fuzzy logic is perfectly appropriate in our case in which a fuzzy algorithm is proposed to predict the health effects on exposed subjects from the input variables.
Electromagnetic Pollution, Waves, Fuzzy Logic
[1]
Consales C, Merla C, Marino C and Benassi B (2012), «Electromagnetic Fields, Oxidative Stress, and Neurodegeneration», International Journal of Cell Biology, 16 p. doi:10.1155/2012/683897.
[2]
Touitou Y (2004), Évaluation des effets des champs électromagnétiques sur la santé chez l’homme, Annales Pharmaceutiques Françaises, 62(4), 219-232.
[3]
Perrin A, Souques M (2010), Champs électromagnétiques, environnement et santé. Springer. Paris, 1-171.
[4]
Sobel E, Davanipour Z, Sulkava R, Erkinjuntti T, Wikstrom J, Henderson VW, Buckwalter G, Bowman JD, Lee PJ (1995), «Occupations with exposure to electromagnetic fields: a possible risk factor for Alzheimer’s disease», American Journal of Epidemiology, 142, 515–24.
[5]
Chengxuan Q, Laura F, Anita K; Bengt W, Tom B (2004), «Occupational Exposure to Electromagnetic Fields and Risk of Alzheimer's Disease», Epidemiology, 15 (6), 687-694.
[6]
Qiu C, Fratiglioni L, Karp A, Winblad B, Bellander T (2004), «Occupational exposure to electromagnetic fields and risk of Alzheimer's disease», 15 (6), 687-94.
[7]
Hallberg Ö, Morgan LL (2011), «The Potential Impact of Mobile Phone Use on Trends in Brain and CNS Tumors», Journal of Neurology & Neurophysiology. S5. Doi: 10.4172/2155- 9562.S5-003.
[8]
Séné F (2010). Les pollutions électromagnétiques. Editions Eyrolles (Paris), 1-131.
[9]
WHO (World Health Organization), http://www.who.int/en/.
[10]
Bouharati S, Bounechada M, Djoudi A, Harzallah D, Alleg F, Benamrani H (2012), «Prevention of Obesity using Artificial Intelligence Techniques», International Journal of Science and Engineering Investigations, 1 (9), 146-150.
[11]
Di Carlo A, White N, Guo F, Garrett P, Litovitz T (2002), «Chronic electromagnetic field exposure decreases HSP70 levels and lowers cytoprotection», Journal of Cellular Biochemistry, 84 (3), 447-54.
[12]
Batellier F, Couty I, Picard D, Brillard JP (2008), «Effects of exposing chicken eggs to a cell phone in ‘‘call’’ position over the entire incubation period», Theriogenology. 69, 737–745.
