Keywords
Fuzzy Analytic Hierarchy Process (FAHP)
trenchless technology
Máquinas Taladradoras de Microtúnel (MTBMs)
Proceso Jerárquico Anáıtico Difuso (FAHP)
tecnología sin zanjas
How to Cite
Abstract
The development of underground infrastructure, environmental concerns, and economic trend is influencing society. Due to the increasingly critical nature of installations of utility systems especially in congested areas, the need for monitoring and control system has increased. The microtunneling system will therefore have to provide for possibility of minimized surface disruption. Suitable selection of Microtunneling Boring Machine (MTBM) is the most curial decision that manager must be done. Because once the trenchless excavation has started, it might be too late to make any changes in equipment without extra costs and delays. Therefore, the various factors and parameters are affecting the choice of machine. In this paper discusses a developed methodology based on Fuzzy Analytic Hierarchy Process (FAHP) in order to determine weights of the criteria and sub criteria and then ranking them. Within the proposed model, four criteria site, machinery, structural, labor force impact and 18 sub-criteria are specified. The linguistic level of comparisons produced by experts are tapped and constructed in a form of triangular fuzzy numbers in order to construct fuzzy pair wise comparison matrices. Therefore, FAHP uses the pair wise comparison matrices for determining the weights of the criteria and sub-criteria.
References
Arseh Andish Consulting Eng. (2005) “Hamadan city sewerage project”, Report No. 205–00.
ASCE (2001) “Standard construction guideline for micro tunneling”, Committee Ballot, Revision 7, 1998, Reston, VA.
Chen, C.T.; Lin, C.T.; Huang, S.F. (2006) “A fuzzy approach for supplier evaluation and selection in supply chain management”, International Journal of Production Economics 102: 289–301.
Chang, D.Y. (1996) “Applications of the extent analysis method on fuzzy AHP”, European Journal of Operational Research 95: 649–655.
Chan, F.T.S.; Kumar, N. (2007) “ Global supplier development considering risk factors using fuzzy extended AHP-based approach”, Omega 35: 417–431.
FSTT (2006) “Micro tunneling and horizontal drilling”, Published by ISTE Ltd. Page No. 343.
Golindo, J.; Urrutia, A.; Piattini, M. (2006) Fuzzy databases: Modeling, Design and Implementation. Idea Group Publishing, Hershey PA.
Jafari, A. (2009) Suitable Selection of Microtunnel Boring Machines (MTBMs) by Using the Fuzzy Analytic Hierarchy Process (FAHP) Approach. Unpublished M.Sc. Thesis, Shahrood University of Technology, Iran.
Jang, J.S.R.; Sun, C.T.; Mizutani, E. (1997) Neuro-Fuzzy and Soft Computing. A Computational Approach to Learning and Machine Intelligence. Prentice-Hall, Englewood Cliffs.
Kahraman, C.; Cebeci, U.; Ulukan, Z. (2003) “Multi-criteria supplier selection using fuzzy AHP”, Logistics Information Management 16(6): 382–394.
Lai, Y.J.; Hwang, C.L. (1996) Fuzzy Multiple Objective Decision Making. Springer, Berlin.
Moser, A.P.; Folkman, S.L. (2008) Buried Pipe Design. McGraw-Hill, New York.
Najafi, M.; Gokhale, S.B. (2005) Trenchless technology : Pipeline and utility design, construction and renewal. McGraw-Hill, New York.
Read, G.F. (Ed.) (2004) Sewers: Replacement and New Construction. Elsevier, Oxford.
Siler, W.; Buckly, J. (2005) Fuzzy Expert Systems and Fuzzy Reasoning. John Wiley & Sons, New York.
Saaty, T.L. (1980) The Analytic Hierarchy Process. McGraw-Hill, New York.
Zadeh, L.A. (1965) “Fuzzy sets”, Inf. Control 8: 338–353.
Zadeh, L.A. (1992) “Fuzzy logic, neural networks, and soft computing”, One-page course announcement of CS 294-4, The University of California at Berkeley.
Wei, C.C.; Chien, C.F.; Wang, M.J. (2005) “An AHP-based approach to ERP system selection”, International Journal of Production Economic 96: 47–62.
Comments
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright (c) 2011 Alireza Jafari, Mohammad Ataie, Sayed Mohammad Esmaiel Jalali, Ahmad Ramazanzadeh