Title :
Classification system for traditional textile: Case study of the batik
Author :
Kitipong, Arinchai ; Rueangsirasak, Worasak ; Chaisricharoen, Roungsan
Author_Institution :
Sch. of Inf. Technol., Mae Fah Luang Univ., Chiang Rai, Thailand
Abstract :
Batik is a best-seller art on textile in South-East Asia. Although, batik industry brings revenue to entrepreneur, lack of supporting from information system which is a tool for developing batik production, leads the business to loose in competition on AEC market. In this paper, Self-Organizing Maps is proposed as the decision support system to increase productivity by suggesting reasonable materials for upcoming product. The system is trained with the sets of data that composed with three factors to let the system learn to select the most suitable materials as solution of reasonable investment for entrepreneur according to their given price as input.
Keywords :
art; decision support systems; information systems; investment; pattern classification; productivity; self-organising feature maps; textile industry; AEC market; art; batik industry; batik production; classification system; decision support system; information system; investment; productivity; self-organizing maps; traditional textile; Image color analysis; Information systems; Production; Self-organizing feature maps; Textiles; Training; Batik; Clustering; Decision Support System; Self-Organizing Maps; Textile Industrial; Traditional Textile;
Conference_Titel :
Communications and Information Technologies (ISCIT), 2013 13th International Symposium on
Conference_Location :
Surat Thani
Print_ISBN :
978-1-4673-5578-0
DOI :
10.1109/ISCIT.2013.6645958
