Hybrid soft set-based reduction and its application for fruit anthracnose decision making /
Mohamad Reza Abd Rahiman
Hybrid soft set-based reduction and its application for fruit anthracnose decision making / Mohamad Reza Abd Rahiman - Kuantan, Pahang : UMP, 2012 - xii, 69 p. : ill. (some col.) ; 30 cm. + 1 CD-ROM
Project paper (Bachelor of Computer Science (Computer System and Networking) -- Universiti Malaysia Pahang - 2012
Bibliography : p.55-60
Soft set theory widely use in data reduction that help to reduce data and decision making process are more efficient. Original data that collected usually large and more importantly whole amount of data that been collected are not necessary for decision making. Data need to be reduced from its original size for data transformation. This project will focus on hybrid reduction of soft set and its application. A new method in Boolean data reduction and decision making is presented. The common research are in reduction of attribute and concentrate on columns as dispensable attribute, while hybrid use object and parameter reduction that give the higher percentage of reduction. To this, it provide better results in reducing the size of datasets.
THE0001853(Local)
Computer software--Development
Application software--Development
Hybrid soft set-based reduction and its application for fruit anthracnose decision making / Mohamad Reza Abd Rahiman - Kuantan, Pahang : UMP, 2012 - xii, 69 p. : ill. (some col.) ; 30 cm. + 1 CD-ROM
Project paper (Bachelor of Computer Science (Computer System and Networking) -- Universiti Malaysia Pahang - 2012
Bibliography : p.55-60
Soft set theory widely use in data reduction that help to reduce data and decision making process are more efficient. Original data that collected usually large and more importantly whole amount of data that been collected are not necessary for decision making. Data need to be reduced from its original size for data transformation. This project will focus on hybrid reduction of soft set and its application. A new method in Boolean data reduction and decision making is presented. The common research are in reduction of attribute and concentrate on columns as dispensable attribute, while hybrid use object and parameter reduction that give the higher percentage of reduction. To this, it provide better results in reducing the size of datasets.
THE0001853(Local)
Computer software--Development
Application software--Development