首页|A Novel Dependent Aggregation Approach for Intuitionistic Uncertain Linguistic Multiple Attribute Group Decision Making

A Novel Dependent Aggregation Approach for Intuitionistic Uncertain Linguistic Multiple Attribute Group Decision Making

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The multiple attribute group decision making problem in which the input arguments take the form of intuitionistic uncer-tain linguistic information is studied in the paper.Based on the operational principles of intuitionistic uncertain linguistic vari-ables and the concept of the expected value and accuracy function,some new dependent aggregation operators with intuitionistic uncertain linguistic information including the dependent intuition-istic uncertain linguistic ordered weighted average(DIULOWA)operator,the dependent intuitionistic uncertain linguistic ordered weighted geometric(DIULOWG)operator,the generalized de-pendent intuitionistic uncertain linguistic ordered weighted aggre-gation(GDIULOWA)operator and so on are developed,in which the associated weights only depend on the aggregated arguments.Also,we study some desirable properties of the aggregation op-erators.Moreover,the approach of multiple attribute group deci-sion making with intuitionistic uncertain linguistic information based on the developed operators is proposed.Finally,an illustra-tive numerical example is given to show the practicality and effec-tiveness of the proposed approaches.

group decision makingintuitionistic uncertain linguistic variabledependent intuitionistic uncertain linguistic ordered weighted average operatordependent intuitionistic uncertain linguistic ordered weighted geometric operator

PENG Bo、GU Fengjuan

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School of Management,Nanchang University,Nanchang 330031,Jiangxi,China

College of Computer and Information,Zhejiang Wanli University,Ningbo 315100,Zhejiang,China

Supported by the National Natural Science Foundation of ChinaNingbo Natural Science Foundation

717610272015A610161

2020

10.19823/j.cnki.1007-1202.2020.0061

武汉大学自然科学学报(英文版)
武汉大学

武汉大学自然科学学报(英文版)

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影响因子：0.066
ISSN：1007-1202
年,卷(期)：2020.25(6)
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