Abstract:
Decision-making problems meet in the daily life or working environment. Sometimes it is very difficult to make the good decision. In practice, decision maker usually use the past experiences to make a decision. Selecting the best decision is one of the critical tasks in decision making process. This paper will implement the classification of jade upon chemical composition. This system will use the fuzzy bayesian decision method to predict the jade properties (Absence or Presence) based on the conditional probabilities of chemical compounds. The aim of this paper is to solve fuzzy bayesian decision making in decision making problem and to predict unknown class label according to the user input data record value.
