Innovative teaching feedback system design using hesitant fuzzy AHP approach

Basar Oztaysi; Sezi Cevik Onar; Cengiz Kahraman

doi:10.1007/978-3-030-23756-1_119

Innovative teaching feedback system design using hesitant fuzzy AHP approach

Basar Oztaysi^*, Sezi Cevik Onar, Cengiz Kahraman

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

2 Atıf (Scopus)

Özet

Education is important for the personal, social and economic development. In this study, we focus on an innovative feedback system design for an education organization, which operates all over Turkey. The content of the educations are on science and mathematics for kids, In the classical model, the education content is generated at the center and then applied in different branches. However, each branch may have different circumstances and capabilities. Thus in order to maintain a sustainable and standardized education it is mandatory to develop an innovative feedback mechanism. In this paper, a fuzzy hesitant Analytic Hierarchy Process (AHP) approach is used to collect and combine different system requirements of different shareholders. Hesitant fuzzy linguistic term sets (HFLTS) are used to capture the hesitancy of the shareholders in this approach.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference
Editörler	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A.Cagri Tolga
Yayınlayan	Springer Verlag
Sayfalar	1006-1013
Sayfa sayısı	8
ISBN (Basılı)	9783030237554
DOI'lar	https://doi.org/10.1007/978-3-030-23756-1_119
Yayın durumu	Yayınlandı - 2020
Etkinlik	International Conference on Intelligent and Fuzzy Systems, INFUS 2019 - Istanbul, Turkey Süre: 23 Tem 2019 → 25 Tem 2019

Yayın serisi

Adı	Advances in Intelligent Systems and Computing
Hacim	1029
ISSN (Basılı)	2194-5357
ISSN (Elektronik)	2194-5365

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	International Conference on Intelligent and Fuzzy Systems, INFUS 2019
Ülke/Bölge	Turkey
Şehir	Istanbul
Periyot	23/07/19 → 25/07/19

Bibliyografik not

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

Belgeye Erişim

10.1007/978-3-030-23756-1_119

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Oztaysi, B., Onar, S. C., & Kahraman, C. (2020). Innovative teaching feedback system design using hesitant fuzzy AHP approach. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, S. Cebi, & A. C. Tolga (Eds.), Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference (pp. 1006-1013). (Advances in Intelligent Systems and Computing; Hac. 1029). Springer Verlag. https://doi.org/10.1007/978-3-030-23756-1_119

Oztaysi, Basar ; Onar, Sezi Cevik ; Kahraman, Cengiz. / Innovative teaching feedback system design using hesitant fuzzy AHP approach. Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. editör / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; Selcuk Cebi ; A.Cagri Tolga. Springer Verlag, 2020. pp. 1006-1013 (Advances in Intelligent Systems and Computing).

@inproceedings{68c7aeb5dab442779ab04af49a650a4c,

title = "Innovative teaching feedback system design using hesitant fuzzy AHP approach",

abstract = "Education is important for the personal, social and economic development. In this study, we focus on an innovative feedback system design for an education organization, which operates all over Turkey. The content of the educations are on science and mathematics for kids, In the classical model, the education content is generated at the center and then applied in different branches. However, each branch may have different circumstances and capabilities. Thus in order to maintain a sustainable and standardized education it is mandatory to develop an innovative feedback mechanism. In this paper, a fuzzy hesitant Analytic Hierarchy Process (AHP) approach is used to collect and combine different system requirements of different shareholders. Hesitant fuzzy linguistic term sets (HFLTS) are used to capture the hesitancy of the shareholders in this approach.",

keywords = "Analytic hierarchy process, Hesitant fuzzy sets, Innovative feedback system, System design",

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

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2019 ; Conference date: 23-07-2019 Through 25-07-2019",

year = "2020",

doi = "10.1007/978-3-030-23756-1_119",

language = "English",

isbn = "9783030237554",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "1006--1013",

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

booktitle = "Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference",

address = "Germany",

}

Oztaysi, B , Onar, SC & Kahraman, C 2020, Innovative teaching feedback system design using hesitant fuzzy AHP approach. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, S Cebi & AC Tolga (eds), Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. Advances in Intelligent Systems and Computing, hac. 1029, Springer Verlag, pp. 1006-1013, International Conference on Intelligent and Fuzzy Systems, INFUS 2019, Istanbul, Turkey, 23/07/19. https://doi.org/10.1007/978-3-030-23756-1_119

Innovative teaching feedback system design using hesitant fuzzy AHP approach. / Oztaysi, Basar ; Onar, Sezi Cevik ; Kahraman, Cengiz.
Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; Selcuk Cebi; A.Cagri Tolga. Springer Verlag, 2020. p. 1006-1013 (Advances in Intelligent Systems and Computing; Hac. 1029).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Innovative teaching feedback system design using hesitant fuzzy AHP approach

AU - Oztaysi, Basar

AU - Onar, Sezi Cevik

AU - Kahraman, Cengiz

PY - 2020

Y1 - 2020

N2 - Education is important for the personal, social and economic development. In this study, we focus on an innovative feedback system design for an education organization, which operates all over Turkey. The content of the educations are on science and mathematics for kids, In the classical model, the education content is generated at the center and then applied in different branches. However, each branch may have different circumstances and capabilities. Thus in order to maintain a sustainable and standardized education it is mandatory to develop an innovative feedback mechanism. In this paper, a fuzzy hesitant Analytic Hierarchy Process (AHP) approach is used to collect and combine different system requirements of different shareholders. Hesitant fuzzy linguistic term sets (HFLTS) are used to capture the hesitancy of the shareholders in this approach.

AB - Education is important for the personal, social and economic development. In this study, we focus on an innovative feedback system design for an education organization, which operates all over Turkey. The content of the educations are on science and mathematics for kids, In the classical model, the education content is generated at the center and then applied in different branches. However, each branch may have different circumstances and capabilities. Thus in order to maintain a sustainable and standardized education it is mandatory to develop an innovative feedback mechanism. In this paper, a fuzzy hesitant Analytic Hierarchy Process (AHP) approach is used to collect and combine different system requirements of different shareholders. Hesitant fuzzy linguistic term sets (HFLTS) are used to capture the hesitancy of the shareholders in this approach.

KW - Analytic hierarchy process

KW - Hesitant fuzzy sets

KW - Innovative feedback system

KW - System design

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U2 - 10.1007/978-3-030-23756-1_119

DO - 10.1007/978-3-030-23756-1_119

M3 - Conference contribution

AN - SCOPUS:85069486780

SN - 9783030237554

T3 - Advances in Intelligent Systems and Computing

SP - 1006

EP - 1013

BT - Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference

A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

A2 - Sari, Irem Ucal

A2 - Cebi, Selcuk

A2 - Tolga, A.Cagri

PB - Springer Verlag

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2019

Y2 - 23 July 2019 through 25 July 2019

ER -

Oztaysi B , Onar SC , Kahraman C. Innovative teaching feedback system design using hesitant fuzzy AHP approach. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Cebi S, Tolga AC, editörler, Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. Springer Verlag. 2020. p. 1006-1013. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-23756-1_119

Innovative teaching feedback system design using hesitant fuzzy AHP approach

Özet

Yayın serisi

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Bibliyografik not

BM SKH

Belgeye Erişim

Diğer Dosyalar ve Linkler

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