Volume 16 Number 6 (Nov. 2021)
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JSW 2021 Vol.16(6): 315-332 ISSN: 1796-217X
doi: 10.17706/jsw.16.6.315-332

Team Collaboration Assessment Method in Marine Engine Room Simulator

Hui Cao*, You-Bing Cao, Jun-Dong Zhang
1Department of Marine Engineering, Dalian Maritime University, Liaoning, China

Abstract—Based on the fuzzy mathematics and set similarity theory an intelligent collaboration assessment method for engine room simulator was studied. First, an integrated weighting method using both subjective and objective information was designed to obtain the weight vector; second, the fuzzy comprehensive evaluation method was used to calculate the completion degree of team collaboration, then the Dice coefficient and the Tversky coefficient were adopted to quantify the sequence factor, interactivity factor, redundancy factor and unauthorized factor of team collaboration effectiveness; third, a comprehensive calculation was achieved by the completion degree and the four factors to get the team collaboration assessment result; finally, the influence of the collaboration factors on assessment result was analyzed by an example, and it was found that even if the team get a higher task completion degree, due to some factors, the score is still low. The research shows that the collaborative performance of a team can greatly influence the final assessment result, the quantitative analysis of team collaboration can more objectively reveal the impact on collaboration. It is an effective method to add the influence of team cooperation factors to the traditional individual evaluation.

Index Terms—Marine engineering, team collaboration, intelligent assessment, engine room simulation.

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Cite: Hui Cao, You-Bing Cao, Jun-Dong Zhang, "Team Collaboration Assessment Method in Marine Engine Room Simulator," Journal of Software vol. 16, no. 6, pp. 315-332, 2021.

Copyright © 2021 by the authors. 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)

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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