A novel Multiple Attribute Group Decision Making methodology based on Intuitionistic Fuzzy TOPSIS

Beyzanur Cayir Ervural, S. Ceren Oner, Veysel Coban, Cengiz Kahraman

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

9 Atıf (Scopus)

Özet

Intuitionistic Fuzzy TOPSIS (IFT) is an effective decision making technique for fuzziness nature of linguistic assessments. This paper proposes a novel methodology for Multiple Attribute Group Decision Making (MAGDM) problems in intuitionistic fuzzy environment. The proposed methodology is based on utilizing the hesitancy degree to determine decision makers' weights distinctively and, a non-linear programming (NLP) model additionally is formed for assigning weights to the related criteria in fuzzy environment. The developed approach is precise and practical for solving MCDM problems. Finally, to show the applicability of the proposed method, an illustrative example is used at the end of this paper.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıFUZZ-IEEE 2015 - IEEE International Conference on Fuzzy Systems
EditörlerAdnan Yazici, Nikhil R. Pal, Hisao Ishibuchi, Bulent Tutmez, Chin-Teng Lin, Joao M. C. Sousa, Uzay Kaymak, Trevor Martin
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9781467374286
DOI'lar
Yayın durumuYayınlandı - 25 Kas 2015
EtkinlikIEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015 - Istanbul, Turkey
Süre: 2 Ağu 20155 Ağu 2015

Yayın serisi

AdıIEEE International Conference on Fuzzy Systems
Hacim2015-November
ISSN (Basılı)1098-7584

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???event.eventtypes.event.conference???IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015
Ülke/BölgeTurkey
ŞehirIstanbul
Periyot2/08/155/08/15

Bibliyografik not

Publisher Copyright:
© 2015 IEEE.

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