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technique by incorporation fuzzy multicriteria decision making for 
compactness measurement index. This research has identified 
and defined the shape information sources that are applicable to 
the redistricting technique. During the design stage, the shape 
information sources like the multiple compactness 
measurements were being modeled to meet the requirements 
and specifications defined and studied. These information 
sources have also been incorporated into the redistricting 
technique. The success of definition, modeling, and 
incorporation of the tertiary information also highlighted the 
applicability of Multiple Criteria Decision Making approach and 
Fuzzy Logic approach in redistricting technique. The research 
has successfully designed and developed a redistricting 
algorithm used to incorporate shape information into redistricting 
technique. The procedures for knowledge acquisition, 
preprocessing, analyzing the multiple criteria, and draws the 
district plan to the user has been defined. The overall 
performance of the prototype designed according to the 
integrated algorithms was tested and proven with a very 
significance improvement on the redistricting process from 
different aspect of testing. 
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BIOGRAPHY 
YinChai WANG 
1) Deputy Dean & Head of Imaging and Spatial Information 
Systems Core Group, Faculty of Information Technology, 
Universiti Malaysia Sarawak 
Research field: Image Processing and Spatial Data 
Handling, Automatic Digitizing of Maps and GIS, GIS for 
Health Care, Artificial Intelligent, and Virtual GIS 
Chin Wei BONG : 
2) Postgraduate student, Faculty of Information Technology, 
Universiti Malaysia Sarawak