Reza Khalesi - Department of Management, Torbatjam Branch, Islamic Azad University, Torbatjam, Iran Elnaz Babazadeh - Azarbaijan University of Tarbiat Moallem
The most important characteristic of the manager is the ability of decision making and recognition in sensitive situations. Pattern recognition is one of the problems that needs for the high ability of the manager to recognize that the given pattern belongs to what class, among several available classes. In the real world, the information and conditions of the decision making are vague and uncertain. Therefore, we must utilize the uncertain environments. In this paper, we investigate the pattern recognition problems under intuitionistic fuzzy environment, which is a generalization of the fuzzy environment, and represent a new method for it. High efficiency of this method can be extended to other problems similar to handwritten character recognition, fingerprint recognition, human face recognition, classification of X‐ray images and thus the manager will persuade to use of it.
Reza Khalesi, Elnaz Babazadeh, Pattern Recognition by Using Intuitionistic Fuzzy Concepts, Journal of Mathematics and Computer Science, 2 (2011), no. 2, 307--310
Khalesi Reza, Babazadeh Elnaz, Pattern Recognition by Using Intuitionistic Fuzzy Concepts. J Math Comput SCI-JM. (2011); 2(2):307--310
Khalesi, Reza, Babazadeh, Elnaz. "Pattern Recognition by Using Intuitionistic Fuzzy Concepts." Journal of Mathematics and Computer Science, 2, no. 2 (2011): 307--310