Title
Pythagorean Uncertain Linguistic Aggregation Operators For Multiple Attribute Decision Making
Abstract
In this paper, we investigate the multiple attribute decision making problems with Pythagorean uncertain linguistic information. Then, we utilize arithmetic and geometric operations to develop some Pythagorean uncertain linguistic aggregation operators: Pythagorean uncertain linguistic weighted average (PULWA) operator, Pythagorean uncertain linguistic weighted geometric (PULWG) operator, Pythagorean uncertain linguistic ordered weighted average (PULOWA) operator, Pythagorean uncertain linguistic ordered weighted geometric (PULOWG) operator, Pythagorean uncertain linguistic hybrid average (PULHA) operator and Pythagorean uncertain linguistic hybrid geometric (PULHG) operator. The prominent characteristic of these proposed operators are studied. Then, we have utilized these operators to develop some approaches to solve the Pythagorean uncertain linguistic multiple attribute decision making problems. Finally, a practical example for enterprise resource planning (ERP) system selection is given to verify the developed approach and to demonstrate its practicality and effectiveness.
Year
DOI
Venue
2017
10.3233/KES-170361
INTERNATIONAL JOURNAL OF KNOWLEDGE-BASED AND INTELLIGENT ENGINEERING SYSTEMS
Keywords
Field
DocType
Multiple attribute decision making, pythagorean uncertain linguistic set, pythagorean uncertain linguistic weighted average (PULWA) operator, pythagorean uncertain linguistic weighted geometric (PULWG) operator, enterprise resource planning (ERP) system selection
Mathematical optimization,Computer science,Operator (computer programming),Artificial intelligence,Pythagorean theorem,Machine learning
Journal
Volume
Issue
ISSN
21
3
1327-2314
Citations 
PageRank 
References 
9
0.39
44
Authors
2
Name
Order
Citations
PageRank
Mao Lu12438.66
Guiwu Wei23568107.94