Artificial Hydrocarbon Networks Fuzzy Inference System
Joint Authors
Ponce, Hiram
Ponce, Pedro
Molina, Arturo
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-23
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
This paper presents a novel fuzzy inference model based on artificial hydrocarbon networks, a computational algorithm for modeling problems based on chemical hydrocarbon compounds.
In particular, the proposed fuzzy-molecular inference model (FIM-model) uses molecular units of information to partition the output space in the defuzzification step.
Moreover, these molecules are linguistic units that can be partially understandable due to the organized structure of the topology and metadata parameters involved in artificial hydrocarbon networks.
In addition, a position controller for a direct current (DC) motor was implemented using the proposed FIM-model in type-1 and type-2 fuzzy inference systems.
Experimental results demonstrate that the fuzzy-molecular inference model can be applied as an alternative of type-2 Mamdani’s fuzzy control systems because the set of molecular units can deal with dynamic uncertainties mostly present in real-world control applications.
American Psychological Association (APA)
Ponce, Hiram& Ponce, Pedro& Molina, Arturo. 2013. Artificial Hydrocarbon Networks Fuzzy Inference System. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1009745
Modern Language Association (MLA)
Ponce, Hiram…[et al.]. Artificial Hydrocarbon Networks Fuzzy Inference System. Mathematical Problems in Engineering No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-1009745
American Medical Association (AMA)
Ponce, Hiram& Ponce, Pedro& Molina, Arturo. Artificial Hydrocarbon Networks Fuzzy Inference System. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1009745
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1009745