Innovative teaching feedback system design using hesitant fuzzy AHP approach

Basar Oztaysi*, Sezi Cevik Onar, Cengiz Kahraman

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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 dilİngilizce
Ana bilgisayar yayını başlığıIntelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference
EditörlerCengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A.Cagri Tolga
YayınlayanSpringer Verlag
Sayfalar1006-1013
Sayfa sayısı8
ISBN (Basılı)9783030237554
DOI'lar
Yayın durumuYayınlandı - 2020
EtkinlikInternational Conference on Intelligent and Fuzzy Systems, INFUS 2019 - Istanbul, Turkey
Süre: 23 Tem 201925 Tem 2019

Yayın serisi

AdıAdvances in Intelligent Systems and Computing
Hacim1029
ISSN (Basılı)2194-5357
ISSN (Elektronik)2194-5365

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???event.eventtypes.event.conference???International Conference on Intelligent and Fuzzy Systems, INFUS 2019
Ülke/BölgeTurkey
ŞehirIstanbul
Periyot23/07/1925/07/19

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Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

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