Web-Base Group Decision Support System for Information Security Decision Making in Case of Indian E-Government Systems

Article Preview

Abstract:

This paper presents a web base multicriteria group decision support system for evaluating information security policy decision making with respect to Indian e-government system. This study first proposes a rational-political group decision-making model which identifies three uncertain factors involved in a group decision-making process: decision maker’s roles in a group reaching a satisfactory solution, preferences for alternatives and judgments for assessment criteria. Based on the model, a linguistic term oriented multi criteria group decision-making method is developed. The method uses general fuzzy number to deal with the three uncertain factors described by linguistic terms and aggregates these factors into a group satisfactory decision that is in a most acceptable degree of the group. Moreover, this study implements the method by developing a web-based group decision support system. This system allows decision makers to participate a group decision-making through the web, and manages the group decision-making process as a whole, from criteria generation, alternative evaluation, opinions interaction to decision aggregation. An information security decision making problem is presented to demonstrate the effectiveness of the approach.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 403-408)

Pages:

954-962

Citation:

Online since:

November 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] R. Anderson, Why Information Security is Hard: An Economic Perspective, Proc. of 17th Annual Computer Security Applications Conference, 2001, pp.10-14.

DOI: 10.1109/acsac.2001.991552

Google Scholar

[2] P. Gray, Group decision support systems, Decision Support Systems, 3 233–242 (1987).

DOI: 10.1016/0167-9236(87)90178-3

Google Scholar

[3] J. Lu, G. Zhang, D. Ruan, and F. Wu, Multi-Objective Group Decision Making: methods, software and applications with fuzzy techniques, Imperial College Press, London, (2007).

Google Scholar

[4] R. Stewart, A.N. Stanton, D. Harris, C. Baber, P. Salmon, M. Mock, K. Tatlock, L. Wells, and A. Kay, Distributed situation awareness in an Airborne Warning and Control System: application of novel ergonomics methodology, Cognition, Technology & Work, in press, Springer London online, (2007).

DOI: 10.1007/s10111-007-0094-8

Google Scholar

[5] S. Nishida and T. Koiso, Design of communication support system in emergency, Systems, Man, and Cybernetics", 1999, IEEE SMC , 99 Conference Proceedings. 1999 IEEE International Conference on, 1, 786–791 (1999).

DOI: 10.1109/icsmc.1999.814191

Google Scholar

[6] L.A. Zadeh, Fuzzy sets, Information and Control, 8 338 353 (1965).

Google Scholar

[7] L.A. Zadeh, The concept of a linguistic variable and its applications to approximate reasoning. Part I, II", Information Sciences 8 199–249, 301–357 (1975), "Part III, Information Sciences 9 43–80 (1975).

DOI: 10.1016/0020-0255(75)90046-8

Google Scholar

[8] S. Saint and J.R. Lawson, Rules for Reaching Consensus. A Modern Approach to Decision Making, Jossey- Bass, (1994).

Google Scholar

[9] E. Herrera-Viedma, F. Herrera, and F. Chiclana, A consensus model for multiperson decision making with different preference structures, IEEE Transactions on Systems, Man and Cybernetics-Part A: Systems and Humans, 32 (3) 394–402 (2002).

DOI: 10.1109/tsmca.2002.802821

Google Scholar

[10] W. Cook and L. Seiford, Priory ranking and consensus formation, Management Science, 24 1721–1732 (1978).

DOI: 10.1287/mnsc.24.16.1721

Google Scholar

[11] G. Zhang and J. Lu, An integrated group decision making method with fuzzy preference for alternatives and individual judgments for selection criteria, Group Decision and Negotiation, 12 501–515 (2003).

DOI: 10.1023/b:grup.0000004197.04668.cf

Google Scholar

[12] G. Zhang and J. Lu, Chapter 3: Using general fuzzy number to handle uncertainty and imprecision in group decision-making, Intelligent Sensory Evaluation: Methodologies and Applications, Ruan and Zeng (Eds. ), Springer, 51–70 (2004).

DOI: 10.1007/978-3-662-07950-8_4

Google Scholar