Error Research in Multi-attribute Decision-making Environment
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Abstract
The research of multi-attribute decision making from the perspective of loss aversion is becoming a new trend since error is the root of loss generated. First, for multi-attribute decision-making environment in the “error” question, the definition of error is given and the properties of the rules which are used to judge whether an error occurred are explained. Next, the error transfer laws are analyzed. And then, the concept of errorloss is given. Finally, the mechanism of errorloss arising from errors is analyzed from the view of attributive classification.
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