Title | ||
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Pythagorean Uncertain Linguistic Aggregation Operators For Multiple Attribute Decision Making |
Abstract | ||
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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 |
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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 |