• Akhilesh Latoria
• Sarvottam Dixit
• Dr. Anand Swarup Saxena

The purpose of this paper is to discuss the latest techniques for identifying fuzzy set methods and algorithms in the field of models. In identifying and classifying reality, the work is confronted with the ambiguity associated with all aspects of human cognitive activities. The origin of the fuzzy source is related to the label represented in the characteristic space and the category label considered in the classification process. By the theory of probability and theory of fuzzy sets, the obvious difference between the information processing method and the method of interpreting the results is explained in detail. The fuzzy set is the oldest and most reported soft computation paradigm. They are ideal to simulate the various forms of uncertainty and ambiguity often encountered in real life. Integrating fuzzy sets with other computing tools can lead to more powerful, smarter, and more efficient systems.

Fuzzification, Neural Network, Pattern Recognition, MATLAB

"A Novel Approach Fuzzy Approach to Pattern Recognition for Large Database through MATLAB", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.95-98, September-2018, Available :http://www.jetir.org/papers/JETIR1809317.pdf

"A Novel Approach Fuzzy Approach to Pattern Recognition for Large Database through MATLAB", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp95-98, September-2018, Available at : http://www.jetir.org/papers/JETIR1809317.pdf