Using Type-2 fuzzy inference system in capacity-planning problems  

Oleh:

Lin, Kuo-Ping ; Chang, Chia-Hao ; Pai, Ping-Feng

Jenis: Article from Proceeding
Dalam koleksi: The 14th Asia Pacific Industrial Engineering and Management Systems Conference (APIEMS), 3-6 December 2013 Cebu, Philippines, page 1-6.
Topik: Type-2 fuzzy inference system; capacity-planning problems; fuzzy inference system
Fulltext: 1130.pdf (702.73KB)

Isi artikel

This study applied a type-2 fuzzy inference system to deal with capacity-planning problem in the presence of the uncertain demand, set-up resources, and the capacity constraints. In capacity-planning systems, various sources of uncertainty and imprecision are encountered. The measurement of manager’s judgments is difficult and vague. In the study, triangular fuzzy numbers (TFS) are used to represent uncertain data. Type-2 fuzzy inference system is employed to model vaguely defined relations between TFS. The numerical example is used to verify the type-2 fuzzy inference system can effectively estimate capacity loading, and provide more objective estimated value than traditional fuzzy inference system.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali