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- 2014
Nanomaterials Characterization and Risk Assessment Using Fuzzy Support Vector MachinesKeywords: Odedele, T.O, Obasi Seb. C and Ibrahim H.D, Characterization, Support vector machines, Fuzzy support vector machines, Nanomaterials, Nanotechnology, Membership function, Linguistic variables, Fuzzy rules, Risk assessment, Toxicity. Abstract: Nanotechnology is the process that develops novel materials at size of 100 nm or less and has become one of the most promising areas of human endeavor. In this paper, Fuzzy Support Vector Machines (Fuzzy SVM) model is developed to predict/assess the toxicity of nanomaterials
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