Abstract
As the amount of data available to researchers continues to grow, sharp class distinctions generated through Boolean logic fundamentally limit researchers' abilities to adequately process data into useable information. The application of fuzzy systems to real world problems allows us to synthesize this raw data into meaningful results. This paper demonstrates how fuzzy theory can be applied to real life application's design where rules can be generated explicitly through an expert system, or implicitly derived through a hybrid neural-fuzzy system. The paper illustrates the success of the fuzzy system use in applications by providing examples in the context of mobile device security evaluation and air quality evaluation and prediction. The examples represent important application areas within engineering and information technology domains.
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