Advanced Fuzzy Sets and Multicriteria Decision Making on Product Development

Cengiz Kahraman; Fatma Kutlu Gündoğdu; Ali Karaşan; Eda Boltürk

doi:10.1007/978-3-030-42188-5_15

Advanced Fuzzy Sets and Multicriteria Decision Making on Product Development

Cengiz Kahraman^*
, Fatma Kutlu Gündoğdu
, Ali Karaşan
, Eda Boltürk

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

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

9 Atıf (Scopus)

Özet

Product design is typically a critical component in the early stages of a product development process. Product development has received much attention over the last decade. Classical multi criteria decision making methods are used in product design and development in the literature. Fuzzy sets approaches have a significant place among these works. Intuitionistic fuzzy, hesitant fuzzy, and type-2 fuzzy Quality Function Deployment (QFD) have been already developed in the literature. In this chapter, we employ the very recent extension of ordinary fuzzy sets, spherical fuzzy sets, in the house of quality development. For the comparison of competitive firms, spherical fuzzy TOPSIS (SF-TOPSIS) has been used. An illustrative application has also been given.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Studies in Systems, Decision and Control
Yayınlayan	Springer
Sayfalar	283-302
Sayfa sayısı	20
DOI'lar	https://doi.org/10.1007/978-3-030-42188-5_15
Yayın durumu	Yayınlandı - 2020

Yayın serisi

Adı	Studies in Systems, Decision and Control
Hacim	279
ISSN (Basılı)	2198-4182
ISSN (Elektronik)	2198-4190

Bibliyografik not

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Belgeye Erişim

10.1007/978-3-030-42188-5_15

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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author = "Cengiz Kahraman and G{\"u}ndoğdu, \{Fatma Kutlu\} and Ali Kara{\c s}an and Eda Bolt{\"u}rk",

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T1 - Advanced Fuzzy Sets and Multicriteria Decision Making on Product Development

AU - Kahraman, Cengiz

AU - Gündoğdu, Fatma Kutlu

AU - Karaşan, Ali

AU - Boltürk, Eda

PY - 2020

Y1 - 2020

N2 - Product design is typically a critical component in the early stages of a product development process. Product development has received much attention over the last decade. Classical multi criteria decision making methods are used in product design and development in the literature. Fuzzy sets approaches have a significant place among these works. Intuitionistic fuzzy, hesitant fuzzy, and type-2 fuzzy Quality Function Deployment (QFD) have been already developed in the literature. In this chapter, we employ the very recent extension of ordinary fuzzy sets, spherical fuzzy sets, in the house of quality development. For the comparison of competitive firms, spherical fuzzy TOPSIS (SF-TOPSIS) has been used. An illustrative application has also been given.

AB - Product design is typically a critical component in the early stages of a product development process. Product development has received much attention over the last decade. Classical multi criteria decision making methods are used in product design and development in the literature. Fuzzy sets approaches have a significant place among these works. Intuitionistic fuzzy, hesitant fuzzy, and type-2 fuzzy Quality Function Deployment (QFD) have been already developed in the literature. In this chapter, we employ the very recent extension of ordinary fuzzy sets, spherical fuzzy sets, in the house of quality development. For the comparison of competitive firms, spherical fuzzy TOPSIS (SF-TOPSIS) has been used. An illustrative application has also been given.

UR - https://www.scopus.com/pages/publications/85084008085

U2 - 10.1007/978-3-030-42188-5_15

DO - 10.1007/978-3-030-42188-5_15

M3 - Chapter

AN - SCOPUS:85084008085

T3 - Studies in Systems, Decision and Control

SP - 283

EP - 302

BT - Studies in Systems, Decision and Control

PB - Springer

ER -

Advanced Fuzzy Sets and Multicriteria Decision Making on Product Development

Özet

Yayın serisi

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap