Perbandingan Algoritma Reduksi Tipe pada Fuzzy Tipe-2

Mira Humaira

Abstract


Type-2 Fuzzy became populer because it’s capability handles uncertainty more better. It effects computational cost. This research insurance that there is algorithm having good performance ie. EIASC. It has short time if count of N is small.

 

Index Terms—EIASC Algorithm, Type-2 Fuzzy


Keywords


Teknik Informatika, Ilmu Komputer, Teknologi Informasi, Teknik Komputer, Ilmu Komputer

Full Text:

PDF


DOI: https://doi.org/10.18860/mat.v1i1.2642

Refbacks

  • There are currently no refbacks.


Bookmark and Share


Copyright (c) 2014 Mira Humaira

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

The journal is indexed by :

Dimensions Sinta CrossRef GoogleScholar
Index Copernicus Moraref Portal Garuda

 

_______________________________________________________________________________________________________________

Editorial Office:
Informatics Engineering Department
Faculty of Science and Technology
Universitas Islam Negeri Maulana Malik Ibrahim Malang
Jalan Gajayana 50 Malang, Jawa Timur, Indonesia 65144
Email: matics@uin-malang.ac.id
_______________________________________________________________________________________________________________

Creative Commons License
This work is licensed under a CC-BY-NC-SA 4.0.
© All rights reserved 2015. MATICS , ISSN : 1978-161X | e-ISSN :  2477-2550