Multi-Level Fuzzy Mobile Collaboration Performance Measurement Model

Wei Hong Wang; Yan Mei Hao; Dian Yuan Shi; Yu Hui Cao

doi:10.4028/www.scientific.net/AMM.433-435.900

Paper Titles

Study on New Measurement Method for Visual Contrast Sensitivity
p.877

Uncertainty Estimation of Probe Calibrations Using a Power Flux Density System of (18~26.5) GHz
p.882

Designing a Four-by-Four Keypad Arbitrary-Key-Entry Detector
p.887

Experimental Study on Microwave Test of Cold Weld Defects in HDPE Piping Thermal Fusion Welds
p.895

Multi-Level Fuzzy Mobile Collaboration Performance Measurement Model
p.900

An Automatic Magnetic Permeability NDT Measurement Device for Cylinder Ferrimagnetic Sample
p.904

Research of Spectrum Detecting Technology on Cognitive Radio
p.911

Research on Key Technology of Cold-Rolled Aluminum Plate Surface Defect Detection System
p.915

A Novel Vehicle Reversing Speed Control Based on Obstacle Detection
p.919

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 433-435Multi-Level Fuzzy Mobile Collaboration Performance...

Multi-Level Fuzzy Mobile Collaboration Performance Measurement Model

Abstract:

Against the question of mobile terminal collaboration resources and its constraints in mobile collaborative environment, a multi-level fuzzy mobile collaboration performance measurement model was proposed, which can take advantage of these limited resources effectively and improve the cooperation efficiency of mobile group. At first, the basic concepts, theory and patterns of mobile collaborative performance evaluation system were analyzed. Then, a mobile collaborative performance evaluation system was built based on them using the analytic hierarchy process and fuzzy comprehensive evaluation to evaluated the collaborative performance, and finally put forward countermeasures and suggestions to improve the group cooperation..

You might also be interested in these eBooks

Advances in Mechatronics and Control Engineering II

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 433-435)

Pages:

900-903

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.433-435.900

Citation:

Cite this paper

Online since:

October 2013

Authors:

Wei Hong Wang*, Yan Mei Hao, Dian Yuan Shi, Yu Hui Cao

Keywords:

Fuzzy Measurement, Mobile Collaboration, Mobile Group, Performance Evaluation

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Wiberg M. Exploring Mobile CSCW: Five Areas of Questionsfor Further Research . IRIS23. Sweden: (2000).

Google Scholar

[2] Shi Meilin, Li Yushun. Mobile CSCW: Mobile Collaborative Work. Chinese Conference on Computer Supported Cooperative Work. 2002. 7.

DOI: 10.1109/cacwd.2004.1348988

Google Scholar

[3] Baker, K. Heuristic Evaluation of Shared Workspace Groupware based on the Mechanics of Collaboration. Technical Report, Department of Computer Science, University of Calgary, (2002).

Google Scholar

[4] Hackman JR. (1987). The design of work teams. In Lorsch JW (Ed. ), Handbook of organizational behavior (pp.315-342). Englewood Cliffs, NJ: Prentice-Hall.

Google Scholar

[5] Sanghun Park. [J]. Computer methods and programs in biomedicine, 2008, 893.

Google Scholar

[6] A. Neyem, S.F. Ochoa and J.A. Pino, Supporting Mobile Collaboration with Service-Oriented Mobile Units, Groupware: Design, Implementation, and Use, 2006, LNCS 4154, 228-245.

DOI: 10.1007/11853862_19

Google Scholar