Fuzzy learning in vicissitudinous environments
B.V. Dasarathy · 2003
The concepts of fuzzy learning and learning in vicissitudinous environments are synergistically combined to develop a new fuzzy logic based approach to the problem of pattern recognition in variably supervised environments. The fuzziness imposed on the recognition process by the varying imperfectness in the supervision is modeled with fuzzy membership functions. The learning under the environment is simultaneously accompanied by learning about the vicissitudinous nature of the environment and the fuzzy membership functions.>