Agriculture India Pdf
References used during the writing of this article
2) Broten, M; “Local agency pavement Management application guide”, The Northwest Technology
Transfer Center, Washington State Department of Transportation, Olympia, WA, (1996).
3) Chen, X., Weissmann, J., Dossey, T. and Hudson, W. R.; “URMS: a graphical urban roadway management system at network level”, Transportation Research Record 1397, Transportat
References
1) Don Kumaragamage M.Sc in Civil Engineering, MIE Aust, Diploma of Management, “Pavement Performance and Maintenance Prioritization”,
2) Broten, M; “Local agency pavement Management application guide”, The Northwest Technology
Transfer Center, Washington State Department of Transportation, Olympia, WA, (1996).
3) Chen, X., Weissmann, J., Dossey, T. and Hudson, W. R.; “URMS: a graphical urban roadway
management system at network level”, Transportation Research Record 1397, Transportation Research
Board, Washington, DC, pp. 103-1, (1993).
4) Chen-Tung Chen; “A fuzzy approach to select the location of the distribution center”, Fuzzy Sets and
Systems 118, pp. 65-73, (2001).
5) Dubois, D & Prade, H; “Operations on Fuzzy Numbers”, International Journal of system science, 9 (3),
613-626, (1978).
6) FHWA; “Pavement and Road Surface Management for Local Agencies” Course Notebook, prepared by
Texas Transportation Institute Texas A&M University for the Pavement Division of the Federal Highway
Administration, Washington, D.C (1994).
7) Golabi, K & Pereira, P; “Innovative Pavement Management and Planning System for Road Network of
Portugal”, journal of Infrastructure Systems, ASCE, June 2003, pp. 75-80 (2003).
Haas, R; Hudson, W. R.; and Zaniewski, J.; Modern Pavement Management, Krieger Publishing Co.,
Malablar, Florida, (1994).
9) Huang, C. C; “A study on the fuzzy ranking and its application on the decision support systems,” Ph.D.
dissertation, Tamkang Univ., Taiwan, R.O.C., 1989.
10) Mei-Fang Chen; Gwo-Hshiung Tzeng; Cherng G. Ding; “Fuzzy MCDM Approach Select Service
Provider” The IEEE International Conference on Fuzzy Systems, (2003).
http://ieeexplore.ieee.org/iel5/8573/27217/01209427.pdf?arnumber=1209427
11) NCHRP Synthesis 222; “Pavement Management Methodologies to Select Projects and Recommend
Preservation Treatments”, National Cooperative Highway Research Program, Transportation Research
Board, Washington, D.C (1995).
12) Prakash, T.N; ” Land Suitability Analysis for Agricultural Crops: A Fuzzy Multicrtiteria Decision
Making Approach”, Master of Science thesis submitted to International Institute for Geo-Information
Science and Earth observation, Enschede, The Netherlands, December, (2003).
13) Ramadhan, R.H; Al-Abdul Wahhab & Duffuaa, S.O ; “The use of an analytical hierarchy process in
pavement maintenance priority ranking” Journal of Quality in Maintenance Engineering, Vol. 5, No. 1, pp
25-39 (1999).
14) Reddy, B.B & Veeraragavan (2002); “Priority Ranking model for managing flexible pavements at
network level” Technical Paper Published in 62nd annual session of Indian Roads Congress ·( IRC), 8th-
11th January , Kochi, India, (2002).
15) Sanja, P & Radivoj, P; “A new fuzzy multi-criteria methodology for ranking alternatives”, International
Transactions in Operational Research, Res. 9, pp. 73-84, (2002).
16) Sharaf, E.; “Ranking versus simple optimization in setting pavement maintenance priorities: a case
study from Egypt”, Transportation Research Record 1397, Transportation Research Board, Washington
DC, pp. 34-8, (1993).
17) Wang. W &Fenton. N; ” Risk and Confidence Analysis for Fuzzy Multicriteria Decision Making”, Risk
Analysis and Decision Research Group, Department of Computer Science, Queen Mary University of
London, Mile End Road, London.
http://www.dcs.qmul.ac.uk/~norman/papers/Wang_Fenton_Risk_and_Confidence.pdf
18) www.mathworks.com
19) Yeou-Geng Hsu; Gwo-Hshing Tzeng & Joseph Z.shyu; ” Fuzzy Multiple Criteria Selection of
Government-sponsored frontier technology R&D projects”, R&D Management, Blackwell Publishing Ltd.
33, 5, (2003).
20) Zadeh, L.A.; “Fuzzy Sets” Information and Control, Vol. 8,pp.338-353, (1965
References
1) Don Kumaragamage M.Sc in Civil Engineering, MIE Aust, Diploma of Management, “Pavement Performance and Maintenance Prioritization”,
2) Broten, M; “Local agency pavement Management application guide”, The Northwest Technology
Transfer Center, Washington State Department of Transportation, Olympia, WA, (1996).
3) Chen, X., Weissmann, J., Dossey, T. and Hudson, W. R.; “URMS: a graphical urban roadway
management system at network level”, Transportation Research Record 1397, Transportation Research
Board, Washington, DC, pp. 103-1, (1993).
4) Chen-Tung Chen; “A fuzzy approach to select the location of the distribution center”, Fuzzy Sets and
Systems 118, pp. 65-73, (2001).
5) Dubois, D & Prade, H; “Operations on Fuzzy Numbers”, International Journal of system science, 9 (3),
613-626, (1978).
6) FHWA; “Pavement and Road Surface Management for Local Agencies” Course Notebook, prepared by
Texas Transportation Institute Texas A&M University for the Pavement Division of the Federal Highway
Administration, Washington, D.C (1994).
7) Golabi, K & Pereira, P; “Innovative Pavement Management and Planning System for Road Network of
Portugal”, journal of Infrastructure Systems, ASCE, June 2003, pp. 75-80 (2003).
Haas, R; Hudson, W. R.; and Zaniewski, J.; Modern Pavement Management, Krieger Publishing Co.,
Malablar, Florida, (1994).
9) Huang, C. C; “A study on the fuzzy ranking and its application on the decision support systems,” Ph.D.
dissertation, Tamkang Univ., Taiwan, R.O.C., 1989.
10) Mei-Fang Chen; Gwo-Hshiung Tzeng; Cherng G. Ding; “Fuzzy MCDM Approach Select Service
Provider” The IEEE International Conference on Fuzzy Systems, (2003).
http://ieeexplore.ieee.org/iel5/8573/27217/01209427.pdf?arnumber=1209427
11) NCHRP Synthesis 222; “Pavement Management Methodologies to Select Projects and Recommend
Preservation Treatments”, National Cooperative Highway Research Program, Transportation Research
Board, Washington, D.C (1995).
12) Prakash, T.N; ” Land Suitability Analysis for Agricultural Crops: A Fuzzy Multicrtiteria Decision
Making Approach”, Master of Science thesis submitted to International Institute for Geo-Information
Science and Earth observation, Enschede, The Netherlands, December, (2003).
13) Ramadhan, R.H; Al-Abdul Wahhab & Duffuaa, S.O ; “The use of an analytical hierarchy process in
pavement maintenance priority ranking” Journal of Quality in Maintenance Engineering, Vol. 5, No. 1, pp
25-39 (1999).
14) Reddy, B.B & Veeraragavan (2002); “Priority Ranking model for managing flexible pavements at
network level” Technical Paper Published in 62nd annual session of Indian Roads Congress ·( IRC), 8th-
11th January , Kochi, India, (2002).
15) Sanja, P & Radivoj, P; “A new fuzzy multi-criteria methodology for ranking alternatives”, International
Transactions in Operational Research, Res. 9, pp. 73-84, (2002).
16) Sharaf, E.; “Ranking versus simple optimization in setting pavement maintenance priorities: a case
study from Egypt”, Transportation Research Record 1397, Transportation Research Board, Washington
DC, pp. 34-8, (1993).
17) Wang. W &Fenton. N; ” Risk and Confidence Analysis for Fuzzy Multicriteria Decision Making”, Risk
Analysis and Decision Research Group, Department of Computer Science, Queen Mary University of
London, Mile End Road, London.
http://www.dcs.qmul.ac.uk/~norman/papers/Wang_Fenton_Risk_and_Confidence.pdf
18) www.mathworks.com
19) Yeou-Geng Hsu; Gwo-Hshing Tzeng & Joseph Z.shyu; ” Fuzzy Multiple Criteria Selection of
Government-sponsored frontier technology R&D projects”, R&D Management, Blackwell Publishing Ltd.
33, 5, (2003).
20) Zadeh, L.A.; “Fuzzy Sets” Information and Control, Vol. 8,pp.338-353, (1965
Road pavement management methods are discussed in the next chapter.
About the Author
Don Kumaragamage is a well respected civil engineer in Australia and in the South East Asia. He is one of the best pavement engineers in the world. His contribution to civil engineering and modern road pavement management methods are highly regarded and respected in the engineering world.