Abstract
This paper proposes the application of fuzzy set theory to transportation investment planning. Performance of fuzziness after objectives are achieved will be subjectively judged by experts in related fields. The resource requirements can be predicted by experience rules or statistical techniques, while in this paper an issue of nonfuzziness will be considered. Within the fuzzy numbers of the achieved objective performance, this paper will find out the best crisp performance value by centroid rule, which is used to select transportation investment projects. Since transportation investment planning cannot avoid dealing with issues of interrelationship among projects, this paper will consider three forms of investment projects: independence, complementarity and substitution. Complementary projects can enhance performance of objectives, while substitutive projects can only substitute, but not increase, objective performance. When this paper selects transportation investment projects, achievement of multiple o...
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
