We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Hybrid Analytic Hierarchy Process Fuzzy Linear Programming Approach for Weapon Systems Screening

by Remica Aggarwal
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 65 - Number 7
Year of Publication: 2013
Authors: Remica Aggarwal
10.5120/10934-5883

Remica Aggarwal . Hybrid Analytic Hierarchy Process Fuzzy Linear Programming Approach for Weapon Systems Screening. International Journal of Computer Applications. 65, 7 ( March 2013), 7-13. DOI=10.5120/10934-5883

@article{ 10.5120/10934-5883,
author = { Remica Aggarwal },
title = { Hybrid Analytic Hierarchy Process Fuzzy Linear Programming Approach for Weapon Systems Screening },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 65 },
number = { 7 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 7-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume65/number7/10934-5883/ },
doi = { 10.5120/10934-5883 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:18:05.980396+05:30
%A Remica Aggarwal
%T Hybrid Analytic Hierarchy Process Fuzzy Linear Programming Approach for Weapon Systems Screening
%J International Journal of Computer Applications
%@ 0975-8887
%V 65
%N 7
%P 7-13
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Screening weapon-systems is a critical task in determining whether a systems development effort will be successful and eventually provide the increased war fighting capability the user had originally envisioned. Weapon system selection is a multi-criteria decision problem that must be accomplished within a constrained resource environment. Several alternatives must be considered and evaluated in terms of many different conflicting criteria and sub criteria and therefore an effective evaluation approach is essential to improve decision quality. Analytic hierarchy process (AHP) is one such technique used by the researchers over the years in establishing the relative values of military weapon system. Despite its popularity, some shortcomings of AHP have been reported in the literature, which have limited its applicability. This research presents a hybrid AHP-FLP approach, integrating an analytic hierarchy process (AHP) with a linear programming model under fuzzy environment (FLP) to a hypothetical case of screening new weapon systems.

References
  1. Ho, W. 2007. Combining analytic hierarchy process and goal programming for logistics distribution network design". IEEE International Conference on Systems, Man and Cybernetics. pp 714–719.
  2. Saaty, T. L. ," How to make a decision", European Journal of Operational Research, 1985, vol. 48(1) , pp. 9-26.
  3. Cheng, C. H. ,Yang, K. L. , and Hwang. C. L. , "Evaluating attack helicopters by AHP based on linguistic variable weight", European Journal of Operational Research,1999, vol. 116, pp 423– 435.
  4. Greiner. M. A. ,Fowler. J. W. ,Shunk D. L. , Carlyle. W. M. ,McNutt. R. T. 2003. A hybrid approach using the analytic hierarchy process and integer programming to screen weapon systems projects. IEEE Transaction on Engineering Management, vol. 50(2), pp 192–203.
  5. Cheng, C. H. , Lin, Y. , "Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation, European Journal of Operational Research, 2002, vol. 142, pp. 174–186.
  6. Vaidya, O. S. Kumar,S. Analytic hierarchy process: An overview of applications, European Journal of Operational Research, 2006, 169(1),pp 1–29.
  7. Kahraman, C. , Cebeci, U. and Ruan, D. 2004, "Multi-attribute comparison of catering service companies using fuzzy AHP: the case of Turkey", International Journal of Production Economics, 2004, Vol. 87, pp. 171-84.
  8. Bellman R. E. , Zadeh ,L. A. Decision making in fuzzy environment, Management Science, 17B: pp 141-164, 1960.
  9. Zimmermann, H. -J. 1994. Fuzzy set theory—and its applications. Boston:Kluwer Academic Publishers
  10. Tiwari, R. N. , Dharmahr, S. and Rao, J. R. , "Fuzzy goal programming-an additive model", Fuzzy Sets and Systems,1987, Vol. 24, pp. 27-34.
  11. Amid, A. , Ghodsypour, S. H. and O'Brien, C. , "Fuzzy multiobjective linear model for the supplier selection in a supply chain", International Journal of Production Economics, 2006, Vol. 104, pp. 394-407.
  12. Lai. , Y. J. and Hawang, C. L. 1994. Fuzzy Multiple Objective Decision Making. Methods and Applications. Springer. Berlin.
  13. Sakawa, M. 1993. Fuzzy Sets and Interactive Multi-objective Optimization. Plenum Press. New York. NY.
  14. Ravichandran T. and Lertwongsatien C. , Effect of information systems resources and capabilities on firm performance: a resource-based perspective , Journal of Management Information System. ,2005, 21(4)pp 237-276.
  15. Ahn, C. W. 2003. A study on the determining missile system by using integer goal programming and AHP. Korea National Defense University.
Index Terms

Computer Science
Information Sciences

Keywords

AHP linear programming fuzzy linear programming

Powered by PhDFocusTM