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Classification of Jade with Fuzzy Bayesian Decision Making Method

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dc.contributor.author Zaw, Nan Sine Se Moe
dc.date.accessioned 2019-07-26T07:23:33Z
dc.date.available 2019-07-26T07:23:33Z
dc.date.issued 2009-12-30
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1399
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher Fourth Local Conference on Parallel and Soft Computing en_US
dc.title Classification of Jade with Fuzzy Bayesian Decision Making Method en_US
dc.type Article en_US

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