Processes of pattern recognition still remain an intriguing and challenging area of human activity. A human being can easily cope with a variety of recognition problems that are far beyond the capabilities of advanced computer programs. This paper addresses some issues of primordial interest in the understanding of principles of recognition and classification. These issues indicate clearly some properties that are essentially tied in with significant aspects of development of an appropriate cognitive perspective and linguistic problems of interpretation of classification results and their multimembership character. How fuzzy sets, and fuzzy logic in particular, can handle numerical and symbolic computations used in classification procedures is discussed. In an applicational study, a role of neural networks and neurocomputations is clarified. It will be indicated how the symbolic part of computations is handled by fuzzy sets and how neural nets can contribute to specific numerical problems. A role of a suitable interface is strongly underlined. © 1991.
Pedrycz, W. (1991). Fuzzy logic in development of fundamentals of pattern recognition. International Journal of Approximate Reasoning, 5(3), 251–264. https://doi.org/10.1016/0888-613X(91)90011-A