01781nam a2200253 a 4500 vtls000076646 KUKTEM 20251114204610.0 140124t2012 my a f m 000 0 eng d THE0001853(Local) 201905131445 yusri 201401241032 Fida 201401241032 Fida UMP QA76.76.D47 R49 2012 rs Bc. 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. Computer software Development Application software Development 0 0 0 1 20000 20000 2019-09-04 0 QA76.76.D47 R49 2012 rs Bc. 0000078908 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 10000 10000 2019-09-04 0 CD 7633 | QA76.76.D47 R49 2012 rs Bc. 0000078909 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 4835 4841 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*9992