Multiple Criteria Decision Making in Accounting Expert Systems
نویسنده
چکیده
The purpose of this paper is to analyze the use of multiple criterion decision making (MCDM) in accounting expert systems (AES). Focusing on the MCDM nature of expert system evaluation functions leads towards a partial taxonomy of AES and a further understanding of "intelligence" in AES. The focus on the MCDM nature of the evaluation functions also serves to highlight the limitations of some of the expert system shells that are inherently designed for single criteria decision making.
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