Multiple attribute group decision making based on advanced linguistic intuitionistic fuzzy weighted averaging aggregation operator of linguistic intuitionistic fuzzy numbers

التفاصيل البيبلوغرافية
العنوان: Multiple attribute group decision making based on advanced linguistic intuitionistic fuzzy weighted averaging aggregation operator of linguistic intuitionistic fuzzy numbers
المؤلفون: Kamal Kumar, Shyi-Ming Chen
المصدر: Information Sciences. 587:813-824
بيانات النشر: Elsevier BV, 2022.
سنة النشر: 2022
مصطلحات موضوعية: Information Systems and Management, Operator (computer programming), Artificial Intelligence, Control and Systems Engineering, Computer science, Intuitionistic fuzzy, Software, Linguistics, Computer Science Applications, Theoretical Computer Science, Group decision-making, Multiple attribute
الوصف: In this paper, we propose a new multiple attribute group decision making (MAGDM) method based on the proposed advanced linguistic intuitionistic fuzzy weighted averaging (ALIFWA) aggregation operator of linguistic intuitionistic fuzzy numbers (LIFNs). The proposed ALIFWA aggregation operator of LIFNs can overcome the shortcomings of the linguistic intuitionistic fuzzy weighted averaging (LIFWA) aggregation operator, the improved LIFWA (ILIFWA) aggregation operator, and the linguistic intuitionistic fuzzy Einstein weighted averaging (LIFEWA) aggregation operator of LIFNs, which have the shortcomings that the membership degrees and the non-membership degrees of their obtained aggregated LIFNs are indeterminated in some situations. Based on the proposed ALIFWA aggregation operator of LIFNs, we propose a new MAGDM method in linguistic intuitionistic fuzzy environments. The proposed MAGDM method can overcome the drawbacks of the existing MAGDM methods. It offers us a very useful way for handling MAGDM problems in linguistic intuitionistic fuzzy environments.
تدمد: 0020-0255
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::818270c85aeb36565983e73b4b18206fTest
https://doi.org/10.1016/j.ins.2021.11.014Test
حقوق: CLOSED
رقم الانضمام: edsair.doi...........818270c85aeb36565983e73b4b18206f
قاعدة البيانات: OpenAIRE