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Entropy 2015, 17(4), 2409-2431; doi:10.3390/e17042409

Collaborative Performance Research on Multi-level Hospital Management Based on Synergy Entropy-HoQ

Department of Industrial Engineering and Engineering Management, Sichuan University, Chengdu 610064, China
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Author to whom correspondence should be addressed.
Academic Editor: Ali E. Abbas
Received: 6 January 2015 / Revised: 25 March 2015 / Accepted: 15 April 2015 / Published: 20 April 2015
(This article belongs to the Special Issue Entropy, Utility, and Logical Reasoning)
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Abstract

Because of the general lack of multi-level hospital management collaboration performance effectiveness research, this paper proposes a multi-level hospital management Synergy Entropy-House of Quality (HoQ) Measurement Model by innovatively combining the House of Quality (HoQ) measure model with a Synergy Entropy computing principle. Triangular fuzzy functions are used to determine the importance degree parameter of each hospital management element which combined with the results from the Synergy Entropy evaluation of the hospital management elements, arrive at a comprehensive collaborative computation result for the various elements, ensuring results objectivity. Finally, the analysis of the collaborative research on multi-level hospital management demonstrated the scientific effectiveness of the hospital management Synergy Entropy-House of Quality (HoQ) Measurement Model. View Full-Text
Keywords: hospital management; house of quality; synergy entropy; triangular fuzzy function hospital management; house of quality; synergy entropy; triangular fuzzy function
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Chen, L.; Liang, X.; Li, T. Collaborative Performance Research on Multi-level Hospital Management Based on Synergy Entropy-HoQ. Entropy 2015, 17, 2409-2431.

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