Integrating Security Indifference Curve to Formal Decision Evaluation
Decisions are regularly made during a project or
daily life. Some decisions are critical and have a direct impact on
project or human success. Formal evaluation is thus required,
especially for crucial decisions, to arrive at the optimal solution
among alternatives to address issues. According to microeconomic
theory, all people-s decisions can be modeled as indifference curves.
The proposed approach supports formal analysis and decision by
constructing indifference curve model from the previous experts-
decision criteria. These knowledge embedded in the system can be
reused or help naïve users select alternative solution of the similar
problem. Moreover, the method is flexible to cope with unlimited
number of factors influencing the decision-making. The preliminary
experimental results of the alternative selection are accurately
matched with the expert-s decisions.
[1] M. B. Chrissis, M. Konrad, and S. Shrum, CMMI® Second Edition
Guidelines for Process Integration and Product Improvement, Addison-
Wesley, Boston, 2007.
[2] S. Thompson, T. Torabi, and P. Joshi, "A Framework to Detect
Deviations During Process Enactment", Computer and Information
Science, 2007. ICIS 2007. 6th IEEE/ACIS International Conference,
IEEE Computer Society, July 11-13, 2007, pp 1066 - 1073.
[3] H. Markowitz, "Portfolio Selection", The Journal of Finance, Vol. 7, No.
1, Blackwell Publishing, UK, Mar, 1952, pp. 77-91.
[4] M. H. Partovi and M. Caputo, "Principal Portfolios: Recasting the
Efficient Frontier", Economics Bulletin, Vol. 7 no. 3, 2004, pp. 1-10.
[5] K. Boness, A. Finkelstein, and R. Harrison, "A lightweight technique for
assessing risks in requirements analysis", IET Periodicals, Volume: 2,
Issue: 1, Institution of Engineering and Technology, UK, February 2008,
pp 46-57.
[6] M. Tom, Machine Learning, McGraw Hill, New York, 1997.
[7] S. Donna, Quality, fourth edition, Pearson Prentice Hall, New Jersey,
2006.
[1] M. B. Chrissis, M. Konrad, and S. Shrum, CMMI® Second Edition
Guidelines for Process Integration and Product Improvement, Addison-
Wesley, Boston, 2007.
[2] S. Thompson, T. Torabi, and P. Joshi, "A Framework to Detect
Deviations During Process Enactment", Computer and Information
Science, 2007. ICIS 2007. 6th IEEE/ACIS International Conference,
IEEE Computer Society, July 11-13, 2007, pp 1066 - 1073.
[3] H. Markowitz, "Portfolio Selection", The Journal of Finance, Vol. 7, No.
1, Blackwell Publishing, UK, Mar, 1952, pp. 77-91.
[4] M. H. Partovi and M. Caputo, "Principal Portfolios: Recasting the
Efficient Frontier", Economics Bulletin, Vol. 7 no. 3, 2004, pp. 1-10.
[5] K. Boness, A. Finkelstein, and R. Harrison, "A lightweight technique for
assessing risks in requirements analysis", IET Periodicals, Volume: 2,
Issue: 1, Institution of Engineering and Technology, UK, February 2008,
pp 46-57.
[6] M. Tom, Machine Learning, McGraw Hill, New York, 1997.
[7] S. Donna, Quality, fourth edition, Pearson Prentice Hall, New Jersey,
2006.
@article{"International Journal of Information, Control and Computer Sciences:56859", author = "Anon Yantarasri and Yachai Limpiyakorn", title = "Integrating Security Indifference Curve to Formal Decision Evaluation", abstract = "Decisions are regularly made during a project or
daily life. Some decisions are critical and have a direct impact on
project or human success. Formal evaluation is thus required,
especially for crucial decisions, to arrive at the optimal solution
among alternatives to address issues. According to microeconomic
theory, all people-s decisions can be modeled as indifference curves.
The proposed approach supports formal analysis and decision by
constructing indifference curve model from the previous experts-
decision criteria. These knowledge embedded in the system can be
reused or help naïve users select alternative solution of the similar
problem. Moreover, the method is flexible to cope with unlimited
number of factors influencing the decision-making. The preliminary
experimental results of the alternative selection are accurately
matched with the expert-s decisions.", keywords = "Decision Analysis and Resolution, Indifference
Curve, Multi-criteria Decision Making.", volume = "2", number = "9", pages = "3044-7", }