A Novel Two-Stage Multi-Criteria Decision-Making Method Based on Interval-Valued Pythagorean Fuzzy Aggregation Operators with Self-Confidence Levels

Author(s):  
Ying Ji ◽  
Yuan Xu ◽  
Shaojian Qu ◽  
Zeshui Xu ◽  
Zhong Wu ◽  
...  
2020 ◽  
Vol 39 (5) ◽  
pp. 6553-6563
Author(s):  
Eda Bolturk ◽  
Murat Gülbay ◽  
Cengiz Kahraman

Sustainable energy selection has been a very popular problem among the researchers and various models including deterministic, probabilistic and fuzzy approaches have been developed for the solution of this problem. Fuzzy approaches to sustainable energy selection problems have been often handled in the literature. Aggregation operators for multi-expert decision making problems are an alternative solution technique for multi criteria decision making problems. Since neutrosophic and intuitionistic fuzzy aggregation operators are comparable extensions of ordinary fuzzy sets, they have been employed to aggregate multi-expert judgments. An illustrative energy selection problem is presented, solved by two approaches, and results are compared. The same linguistic data have been used for the comparison purpose.


2021 ◽  
pp. 1-30
Author(s):  
Harish Garg ◽  
Zeeshan Ali ◽  
Zaoli Yang ◽  
Tahir Mahmood ◽  
Sultan Aljahdali

The paper aims to present a concept of a Complex interval-valued q-rung orthopair uncertain linguistic set (CIVQROULS) and investigated their properties. In the presented set, the membership grades are considered in terms of the interval numbers under the complex domain while the linguistic features are added to address the uncertainties in the data. To further discuss more, we have presented the operation laws and score function for CIVQROULS. In addition to them, we present some averaging and geometric operators to aggregate the different pairs of the CIVQROULS. Some fundamental properties of the proposed operators are stated. Afterward, an algorithm for solving the decision-making problems is addressed based on the proposed operator using the CIVQROULS features. The applicability of the algorithm is demonstrated through a case study related to brain tumors and their effectiveness is compared with the existing studies.


2019 ◽  
Vol 36 (1) ◽  
pp. 595-607 ◽  
Author(s):  
Faisal Khan ◽  
Muhammad Sajjad Ali Khan ◽  
Muhammad Shahzad ◽  
Saleem Abdullah

2019 ◽  
Vol 36 (6) ◽  
pp. 5669-5683 ◽  
Author(s):  
Faisal Khan ◽  
Saleem Abdullah ◽  
Tariq Mahmood ◽  
Muhammad Shakeel ◽  
Muhammad Rahim ◽  
...  

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