Evaluating complex system using fuzzy analytic hierarchy process based on PLOWA operators

Zhi Ming Zhang; Yue Wang; Ran Tao; Si Yong Zhou

Evaluating complex system using fuzzy analytic hierarchy process based on PLOWA operators

Zhi Ming Zhang^*, Yue Wang, Ran Tao, Si Yong Zhou

^*Corresponding author for this work

Beijing Institute of Technology

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

Abstract

To investigate the method for evaluating complex systems, and the operator for aggregating weighted linguistic information, based on fuzzy sets theory, a PLOWA operator was presented to extend the application of LOWA operator, and a new transform function to aggregate weighted linguistic information was defined. The fuzzy AHP method based on PLOWA operator can process natural language directly, and its execution is mush more intuitive and effective than traditional fuzzy multiple attribute decision-making methods.

Original language	English
Pages (from-to)	56-60
Number of pages	5
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	20
Issue number	1
Publication status	Published - 2000

Keywords

Aggregation axioms
Analytic hierarchy process
Fuzzy judgment
Proportional linguistic ordered weighted averaging operator

Cite this

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abstract = "To investigate the method for evaluating complex systems, and the operator for aggregating weighted linguistic information, based on fuzzy sets theory, a PLOWA operator was presented to extend the application of LOWA operator, and a new transform function to aggregate weighted linguistic information was defined. The fuzzy AHP method based on PLOWA operator can process natural language directly, and its execution is mush more intuitive and effective than traditional fuzzy multiple attribute decision-making methods.",

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AU - Wang, Yue

AU - Tao, Ran

AU - Zhou, Si Yong

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N2 - To investigate the method for evaluating complex systems, and the operator for aggregating weighted linguistic information, based on fuzzy sets theory, a PLOWA operator was presented to extend the application of LOWA operator, and a new transform function to aggregate weighted linguistic information was defined. The fuzzy AHP method based on PLOWA operator can process natural language directly, and its execution is mush more intuitive and effective than traditional fuzzy multiple attribute decision-making methods.

AB - To investigate the method for evaluating complex systems, and the operator for aggregating weighted linguistic information, based on fuzzy sets theory, a PLOWA operator was presented to extend the application of LOWA operator, and a new transform function to aggregate weighted linguistic information was defined. The fuzzy AHP method based on PLOWA operator can process natural language directly, and its execution is mush more intuitive and effective than traditional fuzzy multiple attribute decision-making methods.

KW - Aggregation axioms

KW - Analytic hierarchy process

KW - Fuzzy judgment

KW - Proportional linguistic ordered weighted averaging operator

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Evaluating complex system using fuzzy analytic hierarchy process based on PLOWA operators

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Keywords

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