Picture 2-tuple linguistic aggregation operators in multiple attribute decision making

Guiwu Wei; Fuad E. Alsaadi; Tasawar Hayat; Ahmed Alsaedi

doi:10.1007/s00500-016-2403-8

Picture 2-tuple linguistic aggregation operators in multiple attribute decision making

Guiwu Wei
, Fuad E. Alsaadi
, Tasawar Hayat
, Ahmed Alsaedi

Sichuan Normal University
Faculty of Engineering, King Abdulaziz University
Quaid-I-Azam University
Faculty of Sciences, King Abdulaziz University

Research output: Contribution to journal › Article › peer-review

138 Scopus citations

Abstract

In this paper, we investigate the multiple attribute decision-making problems with picture 2-tuple linguistic information. Then, we utilize arithmetic and geometric operations to develop several picture 2-tuple linguistic aggregation operators. The prominent characteristic of these proposed operators is studied. Then, we have utilized these operators to develop some approaches to solving the picture 2-tuple 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.

Original language	English
Pages (from-to)	989-1002
Number of pages	14
Journal	Soft Computing
Volume	22
Issue number	3
DOIs	https://doi.org/10.1007/s00500-016-2403-8
State	Published - 1 Feb 2018
Externally published	Yes

Keywords

Aggregation operators
Enterprise resource planning (ERP) system selection
Multiple attribute decision making
Picture fuzzy set
The 2-tuple linguistic model

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10.1007/s00500-016-2403-8

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title = "Picture 2-tuple linguistic aggregation operators in multiple attribute decision making",

abstract = "In this paper, we investigate the multiple attribute decision-making problems with picture 2-tuple linguistic information. Then, we utilize arithmetic and geometric operations to develop several picture 2-tuple linguistic aggregation operators. The prominent characteristic of these proposed operators is studied. Then, we have utilized these operators to develop some approaches to solving the picture 2-tuple 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.",

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AU - Hayat, Tasawar

AU - Alsaedi, Ahmed

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AB - In this paper, we investigate the multiple attribute decision-making problems with picture 2-tuple linguistic information. Then, we utilize arithmetic and geometric operations to develop several picture 2-tuple linguistic aggregation operators. The prominent characteristic of these proposed operators is studied. Then, we have utilized these operators to develop some approaches to solving the picture 2-tuple 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.

KW - Aggregation operators

KW - Enterprise resource planning (ERP) system selection

KW - Multiple attribute decision making

KW - Picture fuzzy set

KW - The 2-tuple linguistic model

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JO - Soft Computing

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ER -

Picture 2-tuple linguistic aggregation operators in multiple attribute decision making

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Keywords

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