The methodology of multiple criteria decision making/aiding in transportation

1Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The chapter presents the methodological background of Multiple Criteria Decision Making/Aiding (MCDM/A) and its application in the field of Transportation. The Methodology of MCDM/A is presented as a set of universal rules, procedures and paradigms that support Decision Makers (DMs) in analyzing and solving complex transportation decision problems of a multiple criteria/objective character. The process of Multiple Criteria Decision Making/ Aiding with its all phases is characterized and major actors participating in this process are described. The nature and specific characteristics of MCDM/A are explained and transportation–oriented interpretation of discussed terms and ideas is provided. The classification of the MCDM/A methods is given. The theoretical background is supported by the real world transportation case study focused on the analysis, mathematical modeling and a solution procedure of a selected multiple criteria, transportation decision problem, i.e.: the fleet composition problem. A multiple criteria evaluation and selection of low-floor trams is presented. The application of selected MCDM/A methods, including: ELECTRE III/IV and AHP is demonstrated. The chapter has an instructional character and it is addressed to the academic community (researchers, students), professionals, politicians and managers dealing with complex transportation decision problems and facing the problematic of transportation – oriented decision making. The paper is prepared for EWGT community, in particular, as a guide book for their research and consulting projects.

Cite

CITATION STYLE

APA

Żak, J. (2018). The methodology of multiple criteria decision making/aiding in transportation. In Advances in Intelligent Systems and Computing (Vol. 572, pp. 9–38). Springer Verlag. https://doi.org/10.1007/978-3-319-57105-8_1

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free