Volume List  / Volume 4 (1)

Article

PERFORMANCE EVALUATION AND SELECTION OF BEST MODE OF TRANSPORTATION IN LAGOS STATE METROPOLIS

DOI: 10.7708/ijtte.2014.4(1).06


4 / 1 / 76-89 Pages

Author(s)

Solomon Olasunkanmi Odeyale - Mechanical Engineering Department, Olabisi Onabanjo University, Ibogun Campus, Nigeria -

Oguntola Jelili Alamu - Mechanical Engineering Department, Osun State University Oshogbo, Osun State Nigeria -

Elizabeth Olubunmi Odeyale - Department of Mathematics/Statistics, Lagos State University School of Communication, Nigeria -


Abstract

This paper describes an application of the Saaty‘s Analytic Hierarchy Process (AHP) and fuzzy set for selecting the best mode of transportation in Lagos State metropolis. Seven transportation alternatives were considered: private car, okada, keke-napep, train, ferry, commercial bus and taxi. These alternative modes of transportation were evaluated with nine decision criteria: low transportation cost, low environmental effect, large capacity, improved safety, high comfort, high accessibility, improved reliability, low number of interchanges required and faster journey time. This method is used in such a way that information from commuters, who were asked to express their opinions in the ranking of decision criteria, was used in hierarchy prioritization of the criteria and expressed in fuzzy numbers with triangular membership functions. The method is applied at two levels: beginning with the finding of fuzzy weights for the decision criteria, followed by finding the fuzzy weights for the alternatives under each of the decision criteria. Fuzzy scores for the alternatives were obtained.


Download Article

Number of downloads: 8029


References:

Arslan, T.; Khisty, C.J. 2005. A rational reasoning method from perceptions in route choice, Fuzzy Sets and Systems. DOI: http://dx.doi.org/10.1016/j.fss.2004.03.021, 150(3): 419-435.

 

Buckley, J.J. 1985. Fuzzy hierarchy analysis, Fuzzy Sets and Systems. DOI: http://dx.doi.org/10.1016/0165-0114(85)90090-9, 17(3): 233-247.

 

Chang, D.Y. 1996. Applications of the extent analysis method on fuzzy AHP, European Journal of Operational Research. DOI: http://dx.doi.org/10.1016/0377-2217(95)00300-2, 95(3): 649-655.

 

Climaco, J. 1997. Multicriteria Analysis. New York: Springer-Verlag.

 

Dubois, D.; Prade, H. 1980. Fuzzy sets and systems: theory and applications, Academic Press, New York.

 

Huang, C.C.; Chu, P.Y; Chiang, Y.H. 2008. A fuzzy AHP application in government-sponsored R&D project selection, Omega. DOI: http://dx.doi.org/10.1016/j.omega.2006.05.003, 36(6): 1038-1052.

 

Kahraman, C.; Cebeci, U.; Ulukan, Z. 2003. Multi-criteria supplier selection using fuzzy AHP, Logistics Information Management. DOI: http://dx.doi.org/10.1108/09576050310503367, 16(6): 382-394.

 

Lootsma, F.A. 1980. Saaty’s priority theory and the nomination of a senior professor in operations research, European Journal of Operational Research. DOI: http://dx.doi.org/10.1016/0377-2217(80)90189-7, 14(6): 380-388.

 

Mechefske, C.K.; Wang, Z. 2001. Using fuzzy linguistics to select optimum maintenance and condition monitoring strategies, Mechanical Systems and Signal Processing. DOI: http://dx.doi.org/10.1006/mssp.2000.1395, 15(6): 1129-1140.

 

Odeyale, S.O.; Alamu, O.J.; Odeyale, E.O. 2013. The Analytical Hierarchy Process Concept for Maintenance Strategy Selection in Manufacturing Industries, Pacific Journal of Science and Technology, 14(1): 223-233.

 

Opricovic, S.; Tzeng, G.H. 2003. Defuzzification within a multi-criteria decision model, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. DOI: http://dx.doi.org/10.1142/S0218488503002387, 11(5): 635-652.

 

Pan, N.F. 2008. Fuzzy AHP approach for selecting the suitable bridge construction method, Automation in Construction. DOI: http://dx.doi.org/10.1016/j.autcon.2008.03.005, 17(8): 958-965.

 

Pohekar, S.D.; Ramachandran, M. 2004. Application of multi-criteria decision making to sustainable energy planning - A review, Renewable and Sustainable Energy Reviews. DOI: http://dx.doi.org/10.1016/j.rser.2003.12.007, 8(4): 365-381.

 

Saaty, T.L.; Vargas, L.G. 1982. The logic of priorities - applications in business, Energy, Health and Transportation, U.S.A.: Kluwer-Nijhoff Publishing.

 

Tuzkaya, U.R. 2009. Evaluating the environmental effects of transportation modes using an integrated methodology and an application, International Journal of Environmental Science & Technology. DOI: http://dx.doi.org/10.1007/BF03327632, 6(2): 277-290.

 

Tuzkaya, U.R.; Önüt, S. 2008. A fuzzy analytic network process based approach to transportation- mode selection between Turkey and Germany: A case study, Information Sciences. DOI: http://dx.doi.org/10.1016/j.ins.2008.03.015, 178(15): 3132-3145.

 

Van Laarhoven, P.J.M.; Pedrycz, W. 1983. A fuzzy extension of Saaty’spriority theory, Fuzzy Sets and Systems. DOI: http://dx.doi.org/10.1016/S0165-0114(83)80082-7, 11(1-3): 199-227.

 

Verma, A.K.; 2006. Selecting optimal maintenance strategy using priority theory. In Proceedings of the International Conference on Quality and Reliability in Aerospace Systems, Hyderabad, India, 2: 285-296.

 

Wang, J.J.; Yang, D.L. 2007. Using a hybrid multicriteria decision aid method for information systems outsourcing, Computers & Operations Research. DOI: http://dx.doi.org/10.1016/j.cor.2006.01.017, 34(12): 3691-3700.

 

Wang, Y.M.; Chin, K.S. 2008. A linear goal programming priority method for fuzzy analytic hierarchy process and its applications in new product screening, International Journal of Approximate Reasoning. DOI: http://dx.doi.org/10.1016/j.ijar.2008.04.004, 49(2): 451-465.

 

Yager, R.R. 1978. Fuzzy decision making including unequal objectives, Fuzzy Sets and Systems. DOI: http://dx.doi.org/10.1016/0165-0114(78)90010-6, 1(2): 87-95.

 

Zimmermann, H.J. 1987. Fuzzy sets, decision making and expert systems, Kluwer Academic Publishers, Norwell, MA.

 

Zimmermann, H.J. 1985. Fuzzy set theory and its applications, Hingham, MA: Kluwer- Nijhoff Publishing.