Share This Article:

Research on Reliability of Knowledge-Updating in A Kind of Network Knowledge System

Abstract Full-Text HTML Download Download as PDF (Size:475KB) PP. 215-218
DOI: 10.4236/iim.2011.36026    3,733 Downloads   6,503 Views  

ABSTRACT

The definition of reliability of knowledge-updating in network knowledge resource management system (NKRM system for brief) has been given in this paper, which has important reference value to the evaluation of NKRM system. Besides, two kinds of models in NKRM system have been introduced. And one of the most common methods to improve reliability is the redundant technique. However, reliability and efficiency are inconsistent each other. By treating each knowledge as one part of the system, this paper proposes method of joint reserve of knowledge that may resolve this problem.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

J. Shen, Z. Yin and Y. Guo, "Research on Reliability of Knowledge-Updating in A Kind of Network Knowledge System," Intelligent Information Management, Vol. 3 No. 6, 2011, pp. 215-218. doi: 10.4236/iim.2011.36026.

References

[1] R. Moore, “Establishing an Inventory Management Program,” Plant Engineering, Vol. 50, No. 3, 1996, pp. 113-116.
[2] P. Flint, “Too Much of a Good Thing: Better Inventory Management Could Save the Industry Millions while Improving Reliability,” Air Transport World, Vol. 32, No. 9, 1995, pp. 103-106.
[3] B. Foote, “On the Implementation of a Control-Based Forecasting System for Air-Craft Spare Parts Pro-curement,” IIE Transactions, Vol. 27, No. 2, 1995, pp. 210-216. doi:10.1080/07408179508936733
[4] J. T. Luxhoj and T. P. Rizzo, “Probabilistic Spaces Provisioning for Repairable Population Models,” Journal of Business Logistics, Vol. 9, No. 1, 1988, pp. 95-117.
[5] K. R. Kamath and T. P. M. Pakkala, “A Bayesian Approach to a Dynamic Inventory Model Under an Unknown Demand Distribution, “Computers and Opera-tions Research, Vol. 29, No. 4, pp. 403-422. doi:10.1016/S0305-0548(00)00075-7

  
comments powered by Disqus

Copyright © 2020 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.