national defense and homeland security. To assess
and evaluate the optimal Chemical Detecting
Equipment (CDE) system from a large group of
alternatives that contain multiple criteria is a
challenging, sometimes may be a headach task to
decision makers in the defense and the homeland
security system. To correctly pridict and effectively
protect our nationa’s safety, accurately evaluate and
correctly assess the optimal CDE system is the
prerequsite and critical task. In this paper, we used a
collection of CDE information reported by different
agencies in recent years with a target example to
illustrate how to use FMCDM model to simplify this
assessing process.
ACKNOWLEDGEMENTS
The data used in this paper are originally published
by the National Institute of Justice, U.S. Department
of Justice.
REFERENCES
http://www.emedicine.com/emerg/TOPIC924.HTM.
Dena M. Bravata, Vandana Sundaram, Kathryn M.
McDonald, Wendy M. Smith, Herbert Szeto, Mark D.
Schleinitz, and Douglas K. Owens, Emerging
Infectious Diseases. 2004, www.cdc.gov/eid Vol. 10,
No. 1, January.
C. A. Bana e Costa and P. Vincke, 1990, Multiple Criteria
Decision Aid: An Overview in C.A. Bana e Costa ed.,
Readings in Multiple Criteria Decision Aid, Springer
Verlag, Berlin-Heidelberg, pp 3-14.
M. Zeleny, 1982, Multiple Criteria decision-making,
McGraw-Hill, New-York.
C. A. Bana e Costa ed., 1990, Readings in Multiple
Criteria Decision Aid, Springer Verlag, Berlin-
Heidelberg.
S. J. Chen and C. L. Hwang, 1993, Fuzzy Multiple
Attribute decision-making, Methods and Applications,
Lecture Notes in Economics and Mathematical
Systems, Vol. 375, Springer, Heildelberg.
J. C. Fodor and M. Roubens, 1994, Fuzzy Preference
Modelling and Multicriteria Decision Support,
Kluwer, Dordrecht.
M. Sakawa, 1993, Fuzzy Sets and Interactive
Multiobjective Optimization, Applied Information
Technology, Plenum Press, New York.
S. J. Chen and C. L. Hwang, 1993, Fuzzy Multiple
Attribute decision-making, Methods and Applications,
Lecture Notes in Economics and Mathematical
Systems, Vol. 375, Springer, Heildelberg.
C. H. Cheng and D.-L. Mon, 63 (1994) 1-10, Evaluating
weapon system by Analitical Hierarchy Process based
on fuzzy scales, Fuzzy Sets and Systems.
T. L. Saaty, 1980, The analytical Hierarchy Process
McGraw Hill, New York.
Bin Zhu, Zhan Wang, Haicheng Yang, Rong Mo and
Yanwei Zhao, 2008. Applying fuzzy multiple
attributes decision making for product configuration,
Journal of Intelligent Manufacturing, 19, 591-598.
Xu, Z. S., 2002, Study on method for triangular fuzzy
number based multi attribute decision making with
preference information on alternatives. Systems
Engineering and Electronics, 124 (18), 9–12.
Saaty, T. L., 1977, A Scaling Method for Priorities in
Hierarchical Structures, J. Math. Psychology, 15,
234-281.
Yager, R. R., 1977, Multiple Objective Decision-Making
Using Fuzzy Sets, Intl. J. Man-Machine Studies, 9,
375-382.
Metin Dagdeviren, 2008, Decision making in equipment
selection: an integrated approach with AHP and
PROMETHEE, Journal of Intelligent Manufacturing,
19: 397-406.
Alim A. Fatah, Richard D. Arcilesi, James C. Peterson,
Charlotte H. Lattin, Corrie Y. Wells and Joseph A.
McClintock, 2007, “Guide for the Selection of
Chemical Detection Equipment for Emergency First
Responders”, 3rd Edition, Guide 100–06, National
Institute of Standards and Technology, Office of Law
Enforcement Standards, January. www.eeel.nist.gov/
oles/Publications/dhs100-06.pdf
Tricia Derringer, Thomas Kelly, Peter Bujnak, Robert
Krile, Zachary Willenberg, Eric Koglin, 2006, “S-
CAD Chemical Agent Detection System”, Technology
Evaluation Report, National Homeland Security
Research Center, June. www.epa.gov/nhsrc/pubs/600r
06140.pdf
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