General interval approach for encoding words into interval type-2 fuzzy sets based on normal distribution and free parameter-Reference-Cited by-同舟云学术

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General interval approach for encoding words into interval type-2 fuzzy sets based on normal distribution and free parameter

Published:2018-08-19 Issue:17 Volume:23 Page:8187-8206
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Su Zizhou,Hu Dan,Yu Xianchuan

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-018-3454-9.pdf

Reference36 articles.

1. Bezdek JC, Ludmila K (1999) Fuzzy pattern recognition. Wiley, Hoboken

2. Bilgin A, Hagras H, Malibari A, Alhaddad MJ, Alghazzawi D (2012) Towards a general type-2 fuzzy logic approach for computing with words using linear adjectives. In: WCCI 2012 IEEE world congress on computational intelligence, June, 10–15, 2012—Brisbane, Australia

3. Bilgin A, Hagras H, Helvert JV, Alghazzawi D (2016) A linear general type-2 fuzzy-logic-based computing with words approach for realizing an ambient intelligent platform for cooking recipe recommendation. IEEE Trans Fuzzy Syst 10:306–329

4. Buckley JJ, Feuring T (1999) Computing with words in control. In: Zadeh LA, Kacprzyk J (eds) Computing with words in information/intelligent systems 2: applications. Physica-Verlag, Heidelberg, pp 289–304

5. Castro JL, Castro-Schez JJ, Zurita JM (2001) Use of a fuzzy machine learning technique in the knowledge acquisition process. Fuzzy Sets Syst 3:307–320

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