Fuzzy Matrix Theory based Decision Making for Machine Learning

Abstract

: The Fuzzy set theory has numerous real-life applications in almost every field like artificial intelligence, pattern recognition, medical diagnosis etc. There are so many techniques used for solving decision-making problems given by various researchers from time to time. To be able to make consistent and correct choices is the essence of any decision process pervade with uncertainty. Fuzzy matrix theory plays an important role in scientific development under uncertain conditions. Nowadays there are huge varieties of mobile phones with varying features available in the market. Everyone wants to purchase such a mobile phone which has as many features as possible within it but under his/her budget. This has become an important issue in this modern era where everyone wants to have the most preferred mobile handsets for himself/herself as compared to others. So, in this paper, the Fuzzy matrix approach is used in a decision-making problem where a number of buyers can be able to choose their preferred mobile phones with varying features.