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@article{146578,
        author = {C. Arul Sugana and S.ArokiaMagdaline},
        title = {LITERATURE SURVEY ON FUZZY LOGIC },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {1},
        pages = {195-199},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=146578},
        abstract = {Fuzzy logic idea is similar to the human being’s feeling and inference process.Unlike classical control strategy, which is a point-to-point control, fuzzy logic control is a range-to-point or range-to-range control. The output of a fuzzy controller is derived from fuzzifications of both inputs and outputs using the
associated membership functions. A crisp input will be converted to the different members of the associated membership functions based on its value. From this point of view, the output of a fuzzy logic controller is based on its memberships of the different membership functions, which can be considered as a range of inputs.
Computers can only understand either '0' or '1', and 'HIGH' or 'LOW'. Those data are called crisp or classic data and can be processed by all machines},
        keywords = {VR head phone,fuzzy logic},
        month = {},
        }