Volume 5 Issue 2
. 
Turn off MathJax
Article Contents
Article Navigation >  Journal of Traffic and Transportation Engineering  > 2005  >  5(2): 122-126
HAN Shi-lian, LI Xu-hong, LIU Xin-wang. Preference solution of fuzzy shortest path in logistics transportation networks[J]. Journal of Traffic and Transportation Engineering, 2005, 5(2): 122-126.
Citation: HAN Shi-lian, LI Xu-hong, LIU Xin-wang. Preference solution of fuzzy shortest path in logistics transportation networks[J]. Journal of Traffic and Transportation Engineering, 2005, 5(2): 122-126.
shu

Preference solution of fuzzy shortest path in logistics transportation networks

  • 1.

    School of Transportation, Southeast University, Nanjing 210096, China

  • 2.

    School of Economics and Management, Southeast University, Nanjing 210096, China

More Information
  • Author Bio:

    Han Shi-lian(1970-), female, doctoral student, 86-25-83795284, hsl70@163.com

  • Received Date: 2004-12-02
  • Publish Date: 2005-06-25
    Abstract
  • Considering the uncertainty of logistics networks, the paper proposed a fuzzy number ranking method of the shortest path based on weighting function centroid method, the arcs were represented by fuzzy numbers, the fuzzy shortest path could be obtained by the label method, which corresponded to preference information. The fuzzy number ranking method provided a parameterized representation method of decision preference information. With the given pessimistic levels expressed by maximum entropy weighting function, the fuzzy numbers ranking results, the fuzzy shortest path and the corresponding alternative project could be gained, which accorded with the preference information. A numerical example shows that the shortest path varies with preference parameter, and it is completely consistent with the given preference.

     

    • FullText(HTML)
  • loading
    • References(14)
  • [1]
    张国强, 晏克非. 城市道路网交通特性仿真模型及最短路径算法[J]. 交通运输工程学报, 2002, 2(3): 60-62. doi: 10.3321/j.issn:1671-1637.2002.03.013

    Zhang Guo-qiang, Yan Ke-fei. Simulation model based upon characteristics of urban road network and its shortest path algorithm[J]. Journal of Traffic and Transportation Engineering, 2002, 2(3): 60-62. (in Chinese) doi: 10.3321/j.issn:1671-1637.2002.03.013
    [2]
    Dubois D, Prade H. Fuzzy Sets and Systems: Theory and Applications[M]. Newyork: Academic Press, 1980.
    [3]
    Klein C M. Fuzzy shortest paths[J]. Fuzzy Sets and Systems, 1991, 39(1): 27-41. doi: 10.1016/0165-0114(91)90063-V
    [4]
    Okada S, Soper T. A shortest path problem on a network with fuzzy arc lengths[J]. Fuzzy Sets and Systems, 2000, 109(1): 129-140. doi: 10.1016/S0165-0114(98)00054-2
    [5]
    Chang P T, Lee E S. Fuzzy decision networks and deconvolution[J]. Computers and Mathematics with Applications, 1999, 37(11): 53-57.
    [6]
    BortolanG, Degani R. A review of some methods for ranking fuzzy subsets[J]. Fuzzy Sets and Systems, 1985, 15(1): 1-19. doi: 10.1016/0165-0114(85)90012-0
    [7]
    Chen L H, Lu H W. An approximate approach for ranking fuzzy numbers based on left and right dominance[J]. Computers and Mathematics with Applications, 2001, 41(12): 1 589-1 602. doi: 10.1016/S0898-1221(01)00124-9
    [8]
    Cheng C H. A new approach for ranking fuzzy numbers by distance method[J]. Fuzzy Sets and Systems, 1998, 95(3): 307-317. doi: 10.1016/S0165-0114(96)00272-2
    [9]
    Chen S J, Chen S M. A new method for handling multicriteria fuzzy decision-making problems using FN-IOWA operators [J]. Cybernetics and Systems, 2003, 34(2): 109-137. doi: 10.1080/01969720302866
    [10]
    Chang P T, Lee E S. Ranking of fuzzy sets based on the concept of existence[J]. Computers and Mathematics with Applications, 1994, 27(1): 1-21. doi: 10.1016/0898-1221(94)90001-9
    [11]
    Facchinetti G, Ricci R G, Muzzioli S. Note on ranking fuzzy triangular numbers[J]. International Journal of Intelligent Systems, 1998, 13(5): 613-622.
    [12]
    Peneva V, Popchev I. Comparison of clusters from fuzzy numbers[J]. Fuzzy Sets and Systems, 1998, 97(1): 75-81. doi: 10.1016/S0165-0114(96)00360-0
    [13]
    Detyniecki M, Yager R R. Ranking fuzzy numbers using a weighted valuations[J]. International Journal of Uncertainty, Fuzziness Knowledge-Based Systems, 2000, 8(5): 573-591.
    [14]
    Matarazzo B, Munda G. New approaches for the comparison of L-R fuzzy numbers: a theoretical and operational analysis [J]. Fuzzy Sets and Systems, 2001, 118(3): 407-418.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (209) PDF downloads(279) Cited by()
    Proportional views
    Related

    Copyright《Journal of Traffic and Transportation Engineering》编辑部陕ICP备05001904号-1

    Address ：Editorial Department of Journal of Traffic and Transportation Engineering, Chang 'an University, Middle Section of South Second Ring Road, Xi 'an, Shaanxi（710064） Tel：029-82334388 Email：jygc@chd.edu.cn

    All visit:Today's visit:

    Supported by: Beijing Renhe Information Technology Co. Ltd    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return