Modeling Humanoid Robots Mimics Using Intuitionistic Fuzzy Sets

Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Otay

doi:10.1007/978-3-030-51156-2_40

Modeling Humanoid Robots Mimics Using Intuitionistic Fuzzy Sets

Cengiz Kahraman^*, Sezi Cevik Onar, Basar Oztaysi, Irem Otay

^*Corresponding author for this work

Department of Industrial Engineering

Istanbul Bilgi University

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

Abstract

Intuitionistic fuzzy sets (IFS) have been often used in modeling the problems under vagueness and impreciseness in order to better define the problems together with the hesitancy of decision makers. IFS have been often employed in modeling decision making problems in the literature. Human decision making process can be used in humanoid robots by imitating the human decisions and behaviors.

Original language	English
Title of host publication	Intelligent and Fuzzy Techniques
Subtitle of host publication	Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference
Editors	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A. Cagri Tolga
Publisher	Springer
Pages	339-346
Number of pages	8
ISBN (Print)	9783030511555
DOIs	https://doi.org/10.1007/978-3-030-51156-2_40
Publication status	Published - 2021
Event	International Conference on Intelligent and Fuzzy Systems, INFUS 2020 - Istanbul, Turkey Duration: 21 Jul 2020 → 23 Jul 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1197 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	International Conference on Intelligent and Fuzzy Systems, INFUS 2020
Country/Territory	Turkey
City	Istanbul
Period	21/07/20 → 23/07/20

Bibliographical note

Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Extensions
Fuzzy sets
Intuitionistic fuzzy sets
Picture fuzzy sets
Pythagorean fuzzy sets
Q-rung orthopair fuzzy sets
Spherical fuzzy sets

Access to Document

10.1007/978-3-030-51156-2_40

Cite this

Kahraman, C., Onar, S. C., Oztaysi, B., & Otay, I. (2021). Modeling Humanoid Robots Mimics Using Intuitionistic Fuzzy Sets. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, S. Cebi, & A. C. Tolga (Eds.), Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference (pp. 339-346). (Advances in Intelligent Systems and Computing; Vol. 1197 AISC). Springer. https://doi.org/10.1007/978-3-030-51156-2_40

Kahraman, Cengiz ; Onar, Sezi Cevik ; Oztaysi, Basar et al. / Modeling Humanoid Robots Mimics Using Intuitionistic Fuzzy Sets. Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. editor / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; Selcuk Cebi ; A. Cagri Tolga. Springer, 2021. pp. 339-346 (Advances in Intelligent Systems and Computing).

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title = "Modeling Humanoid Robots Mimics Using Intuitionistic Fuzzy Sets",

abstract = "Intuitionistic fuzzy sets (IFS) have been often used in modeling the problems under vagueness and impreciseness in order to better define the problems together with the hesitancy of decision makers. IFS have been often employed in modeling decision making problems in the literature. Human decision making process can be used in humanoid robots by imitating the human decisions and behaviors.",

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author = "Cengiz Kahraman and Onar, {Sezi Cevik} and Basar Oztaysi and Irem Otay",

note = "Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2020 ; Conference date: 21-07-2020 Through 23-07-2020",

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editor = "Cengiz Kahraman and {Cevik Onar}, Sezi and Basar Oztaysi and Sari, {Irem Ucal} and Selcuk Cebi and Tolga, {A. Cagri}",

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Kahraman, C , Onar, SC , Oztaysi, B & Otay, I 2021, Modeling Humanoid Robots Mimics Using Intuitionistic Fuzzy Sets. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, S Cebi & AC Tolga (eds), Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. Advances in Intelligent Systems and Computing, vol. 1197 AISC, Springer, pp. 339-346, International Conference on Intelligent and Fuzzy Systems, INFUS 2020, Istanbul, Turkey, 21/07/20. https://doi.org/10.1007/978-3-030-51156-2_40

Modeling Humanoid Robots Mimics Using Intuitionistic Fuzzy Sets. / Kahraman, Cengiz ; Onar, Sezi Cevik ; Oztaysi, Basar et al.
Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; Selcuk Cebi; A. Cagri Tolga. Springer, 2021. p. 339-346 (Advances in Intelligent Systems and Computing; Vol. 1197 AISC).

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

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AB - Intuitionistic fuzzy sets (IFS) have been often used in modeling the problems under vagueness and impreciseness in order to better define the problems together with the hesitancy of decision makers. IFS have been often employed in modeling decision making problems in the literature. Human decision making process can be used in humanoid robots by imitating the human decisions and behaviors.

KW - Extensions

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KW - Intuitionistic fuzzy sets

KW - Picture fuzzy sets

KW - Pythagorean fuzzy sets

KW - Q-rung orthopair fuzzy sets

KW - Spherical fuzzy sets

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Kahraman C , Onar SC , Oztaysi B, Otay I. Modeling Humanoid Robots Mimics Using Intuitionistic Fuzzy Sets. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Cebi S, Tolga AC, editors, Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. Springer. 2021. p. 339-346. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-51156-2_40

Modeling Humanoid Robots Mimics Using Intuitionistic Fuzzy Sets

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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