Service bid comparisons by fuzzy ranking in open railway market timetabling

Expert Systems with Applications

Volumn 36, Issue 7, 2009, Pages 10334-10343

  Ho, T K ^a   Ip, K H ^a   Tsang, C W ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Fuzzy ranking; Intelligent transportation systems; Open railway access market; Policies comparison

Indexed keywords

ACCESS RIGHTS; BUSINESS OBJECTIVES; FUZZY RANKING; FUZZY RANKING METHODS; INTELLIGENT TRANSPORTATION SYSTEMS; OPEN RAILWAY ACCESS MARKET; POLICIES COMPARISON; RAILWAY MARKETS; SERVICE QUALITIES; TIMETABLING; TRAIN SERVICES;

COMMERCE; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; INTERNET PROTOCOLS; RAILROADS; TRAVELING SALESMAN PROBLEM; VEHICLE LOCATING SYSTEMS;

RAILROAD TRANSPORTATION;

EID: 67349218399     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.01.044     Document Type: Article

References (31)

1. Adamo J.M. Fuzzy decision trees. Fuzzy Sets and Systems 4 3 (1980) 207-220
2. Bureau of Transport and Regional Economics [of Australia], (2003). Rail infrastructure pricing: Principles and practice. Report 109.
3. Carnahan J.V. Fuzzy rating for multiattribute design decision making. ASME Journal of Mechanical Design 116 (1994) 511-521
4. Chen S.H. Ranking fuzzy numbers with maximizing set and minimizing set. Fuzzy Sets and Systems 17 (1985) 113-129
5. Chen S.L., and Cheng C.H. Selecting IS personnel use fuzzy GDSS based on metric distance method. European Journal of Operational Research 160 (2005) 8803-8820
6. Cheng C.H. Evaluation naval tactical missile system by fuzzy AHP based on the grade value of membership function. European Journal of Operation Research 96 (1996) 343-350
7. Cheng C.H. Evaluation weapons systems using ranking fuzzy number. Fuzzy Sets and Systems 107 (1999) 25-35
8. Duran O., and Aguilo J. Computer-aided machine-tool selection based on a fuzzy-AHP approach. Expert Systems with Applications 34 (2008) 1787-1794
9. Gibson S., Cooper G., and Ball B. Developments in transport policy: The evolution of capacity charges on the UK rail network. Journal of Transport Economics and Policy 36 2 (2002) 341-354
10. Heung T.H., Ho T.K., and Fung Y.F. Coordinated road-junction traffic control by dynamic programming. IEEE Transactions on Intelligent Transportation Systems 6 3 (2005) 341-350
11. Huang C.C., Chu P.Y., and Chiang Y.H. A fuzzy AHP application in government-sponsored R&D project selection. International Journal of Management Science 36 (2008) 1038-1052
12. Jensen A. Competition in railway monopolies. Transportation Research Part E 34 (1998) 267-287
13. Kang H.Y., and Lee A.H.I. Priority mix planning for semiconductor fabrication by fuzzy AHP ranking. Expert Systems with Applications 32 (2007) 560-570
14. Klir G.I., and Yuan B. Fuzzy sets and fuzzy logic theory and applications (1995), Prentice-Hall
15. Lai L.H. An evaluation of fuzzy transportation underwriting systematic risk. Transportation Research Part A 42 9 (2008) 1231-1237
16. Lee E.S., and Li R.L. Comparison of fuzzy numbers based on the probability measure of fuzzy events. Computers and Mathematics with Applications 15 (1988) 887-896
17. Luo X., Jennings N.R., Shadbolt N., Leung H., and Lee J.H. A fuzzy-constraint based model for bilateral, multi-issue negotiations in semi-competitive environments. Artificial Intelligence 148 (2003) 53-102
18. Mabuchi S. An approach to the comparison of fuzzy subsets with α-cut dependent index. IEEE Transactions on Systems, Man & Cybernetics 18 2 (1988) 264-272
19. Saaty T.L. Analytic hierarchy process: Planning priority setting resource allocation (1980), McGraw-Hill
20. Shaw J. Competition in the UK passenger railway industry - Prospects and problems. Transport Reviews 21 2 (2001) 195-216
21. Thurson D.L., and Carnahan J.V. Fuzzy rating and utility analysis in preliminary design evaluation of multiple attributes. ASME Journal on Mechanical Design 114 (1992) 648-658
22. Tsang, C. W. (2007). Modelling negotiations in open railway access market for resource allocation. Ph.D. Thesis, The Hong Kong Polytechnic University.
23. Tsang, C. W. & Ho, T. K. (2004). A prioritised fuzzy constraint satisfaction approach to model agent negotiation for railway scheduling. In IEEE International conference on machine learning and cybernetics 2004. Shanghai, China, pp. 1795-1801.
24. Tsang C.W., and Ho T.K. Conflict resolution through negotiation in railway open access market - A multi-agent system approach. Transportation Planning and Technology 29 (2006) 157-182
25. Tsang C.W., and Ho T.K. Optimal track access rights allocation for agent negotiation in an open railway market. IEEE Transactions on Intelligent Transportation Systems 9 1 (2008) 68-82
26. Tseng T., and Klein C.M. New algorithm for the ranking procedure in fuzzy decision making. IEEE Transactions on Systems, Man and Cybernetics 19 (1989) 1289-1296
27. Walpole R.E., Myers R.H., and Myers S.L. Probability and statistics for engineers and scientists (1998), Prentice-Hall
28. Wang J. A fuzzy outranking method for conceptual design evaluation. International Journal of Production Research 35 4 (1997) 995-1010
29. Watkins A.E., Scheaffer R.L., and Cobb G.W. Statistics in action: Understanding a world of data (2004), Key Curriculum Press, Emeryville, CA
30. Watson R. The effect of railway privatization on train planning: A case study of the UK. Transport Reviews 21 2 (2001) 181-193
31. Zimmermann H.J. Fuzzy sets, decision making and expert systems (1987), Kluwer Academic Publishers