Research Article
Selecting the Appropriate Decision Alternatives using SM and AHP
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 37 - Issue 10 |
| Published: January 2012 |
| Authors: Ahmad A. Maidamisa, Rohanin Ahmad, Abdul. A. M. Ismail |
10.5120/4643-6706
|
Ahmad A. Maidamisa, Rohanin Ahmad, Abdul. A. M. Ismail . Selecting the Appropriate Decision Alternatives using SM and AHP. International Journal of Computer Applications. 37, 10 (January 2012), 14-18. DOI=10.5120/4643-6706
@article{ 10.5120/4643-6706,
author = { Ahmad A. Maidamisa,Rohanin Ahmad,Abdul. A. M. Ismail },
title = { Selecting the Appropriate Decision Alternatives using SM and AHP },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 37 },
number = { 10 },
pages = { 14-18 },
doi = { 10.5120/4643-6706 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A Ahmad A. Maidamisa
%A Rohanin Ahmad
%A Abdul. A. M. Ismail
%T Selecting the Appropriate Decision Alternatives using SM and AHP%T
%J International Journal of Computer Applications
%V 37
%N 10
%P 14-18
%R 10.5120/4643-6706
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The paper employed two decision analysis methods to solve a farmer's choice of the crop's problem, for planting purposes. The first method is scoring model, while the second method is the analytical hierarchy process. A result yields two different ranking of crops. It was shown that the ranking obtained from the first method has no association with the ranking produced by the second method. This paper is the first research work to utilize scoring method with the analytical hierarchy process in Agricultural decision making. It compares two rankings results and infers on their performance.
References
- Anderson, D., Sweeney, D. and Williams, T. 2008. An introduction to management science: Quantitative approaches to decision making. Australia. Cengage learning.
- Saaty, T. 2007. The analytic hierarchy process. New York, McGraw-Hill.
- Gurusami, A.S. 2009. Fords wrenching decision. OR/MS Today, 5, 36-39.
- Visagie, S. 2004. Operations research in agriculture. ORSSA/ONSA Newsletter. 4(2), 5-7.
- Kamal, M. 2001. Application of the AHP in project management. Int. Journal of project management. 19(1), 19-27.
- Alphonce, C. 1997. Application of analytical hierarchy process in agriculture in developing countries. Agricultural systems, 53, 97-112.
- Bhatta, G. and Doppler, W. 2010. Farming differentiation in the rural urban interfaces of the middle mountains Nepal: Application of analytical hierarchy process modelling. Journal of agricultural sciences. 2(4), 37-51.
- Moghaddam, K. and Karami, E. 2008. A multi criteria evaluation of sustainable agricultural development models using AHP. Environmental development sustainability. 10(1), 407-426.
- Montazar, A. and Zadbagher, E. 2010. An analytical hierarchy model for assessing global water productivity of irrigation networks in Iran. Water resources manage, 24(1), 2817-2832.
- Nandi, S., Paul, S. and Phadtare, M. 2011. An AHP based construction project selection methods. Decision. 38(1), 91-118.
- Saaty, T. 2002. Decision making for leaders: The analytical hierarchy decision in a complex world. USA. RWS Publishers.
- Sheskin, D. 2007. Handbook of parametric and non parametric statistical procedures. Florida, Champman Hall/CRC.
Index Terms
Keywords