Type-2 Fuzzy Systems

Ardashir Mohammadzadeh; Mohammad Hosein Sabzalian; Chunwei Zhang; Oscar Castillo; Rathinasamy Sakthivel; Fayez F.M. El-Sousy

doi:10.1007/978-3-031-17393-6_3

Type-2 Fuzzy Systems

Ardashir Mohammadzadeh, Mohammad Hosein Sabzalian, Chunwei Zhang, Oscar Castillo, Rathinasamy Sakthivel, Fayez F.M. El-Sousy

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Scopus citations

Abstract

The fuzzy logic is a successful method for modeling uncertainty, vagueness, and imprecision.

Original language	English
Title of host publication	Studies in Fuzziness and Soft Computing
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	17-47
Number of pages	31
DOIs	https://doi.org/10.1007/978-3-031-17393-6_3
State	Published - 2023

Publication series

Name	Studies in Fuzziness and Soft Computing
Volume	421
ISSN (Print)	1434-9922
ISSN (Electronic)	1860-0808

Access to Document

10.1007/978-3-031-17393-6_3

Cite this

@inbook{e0f7bf645592409c9e2afd8f1cb579d4,

title = "Type-2 Fuzzy Systems",

abstract = "The fuzzy logic is a successful method for modeling uncertainty, vagueness, and imprecision.",

author = "Ardashir Mohammadzadeh and Sabzalian, \{Mohammad Hosein\} and Chunwei Zhang and Oscar Castillo and Rathinasamy Sakthivel and El-Sousy, \{Fayez F.M.\}",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.",

year = "2023",

doi = "10.1007/978-3-031-17393-6\_3",

language = "English",

series = "Studies in Fuzziness and Soft Computing",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "17--47",

booktitle = "Studies in Fuzziness and Soft Computing",

address = "Germany",

}

TY - CHAP

T1 - Type-2 Fuzzy Systems

AU - Mohammadzadeh, Ardashir

AU - Sabzalian, Mohammad Hosein

AU - Zhang, Chunwei

AU - Castillo, Oscar

AU - Sakthivel, Rathinasamy

AU - El-Sousy, Fayez F.M.

PY - 2023

Y1 - 2023

N2 - The fuzzy logic is a successful method for modeling uncertainty, vagueness, and imprecision.

AB - The fuzzy logic is a successful method for modeling uncertainty, vagueness, and imprecision.

UR - http://www.scopus.com/inward/record.url?scp=85141866139&partnerID=8YFLogxK

U2 - 10.1007/978-3-031-17393-6_3

DO - 10.1007/978-3-031-17393-6_3

M3 - Chapter

AN - SCOPUS:85141866139

T3 - Studies in Fuzziness and Soft Computing

SP - 17

EP - 47

BT - Studies in Fuzziness and Soft Computing

PB - Springer Science and Business Media Deutschland GmbH

ER -

Type-2 Fuzzy Systems

Abstract

Publication series

Access to Document

Other files and links

Fingerprint

Cite this