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Evaluation model of venture investment based on fuzzy matter-element method of combined weight

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Indexed by:期刊论文

Date of Publication:2008-06-01

Journal:Journal of Southeast University (English Edition)

Included Journals:EI

Volume:24

Issue:SUPPL.

Page Number:27-32

ISSN No.:10037985

Abstract:An evaluation model of an international venture investment project on the basis of fuzzy matter-element and combined weight methods is introduced. First, the compound fuzzy matter-element of optimal subordinate degree is constructed on the principle of the bigger-more-optimal or the less-more-optimal depending on the actual evaluation indicators, and combined with standard fuzzy matter-element to form a difference-square fuzzy matter-element. Secondly, a combined weight is calculated by both information entropy and the expert grading method. Finally, the compound fuzzy matter-element of Euclidian approach degree by M(·, +) method is constituted and used to classify venture investment projects. Based on the model above, six venture investment projects in a company are evaluated, and the results show that the projects are all good, which is demonstrated by the good income of the projects. Therefore, the coincidence of evaluation results and actual operation status indicates that the model is of great value in practical application.

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