B2C Marketplace Prioritization Using Hesitant Fuzzy Linguistic AHP

Cengiz Kahraman*, Sezi Çevik Onar, Başar Öztayşi

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: ???type-name???Makalebilirkişi

49 Atıf (Scopus)

Özet

Commercial Internet rapidly developed through Business to Customer (B2C) businesses since 1990s. B2C provides free online services and discounted shopping to customers. There are lots of B2C firm alternatives in the internet for a customer who seeks for a profitable business. The selection among these B2C alternatives is a multi-attribute decision-making problem with many tangible and intangible criteria under vagueness and impreciseness. In this paper, we propose a hesitant fuzzy linguistic analytic hierarchy process method for the selection among B2C firms. Hesitant fuzzy linguistic term sets are used for the assessments in the pairwise comparison matrices. An ordered weighted averaging operator is used for aggregation operator. A sensitivity analysis is also given to check the robustness of the obtained result.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)2202-2215
Sayfa sayısı14
DergiInternational Journal of Fuzzy Systems
Hacim20
Basın numarası7
DOI'lar
Yayın durumuYayınlandı - 1 Eki 2018

Bibliyografik not

Publisher Copyright:
© 2017, Taiwan Fuzzy Systems Association and Springer-Verlag GmbH Germany, part of Springer Nature.

Parmak izi

B2C Marketplace Prioritization Using Hesitant Fuzzy Linguistic AHP' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.

Alıntı Yap