Modelling Interdependency Among Attributes in MCDM: Its Application in Port Performance Measurement

Min-Ho Ha and Zaili Yang ()
Additional contact information
Min-Ho Ha: Liverpool John Moores University
Zaili Yang: Liverpool John Moores University

Chapter Chapter 12 in Multi-Criteria Decision Making in Maritime Studies and Logistics, 2018, pp 323-354 from Springer

Abstract: Abstract The measurement of port and terminal performance may require an essential understanding of the cause-effect relationship among the influencing factors and criteria. Port performance indicators (PPIs) can interact with and feedback themselves (inner dependency) and/or each other (outer dependency). However previous studies have done little on the analysis of interdependency among the PPIs. This chapter aims to propose a new conceptual PPIs’ interdependency model using a hybrid approach of a fuzzy logic based evidential reasoning (FER), a decision making trial and evaluation laboratory (DEMATEL) and an analytic hierarchy process (AHP). The combined approach of DEMATEL and AHP is applied to calculate the weights of dependent PPIs which are used as a part of the FER model to measure and analyse the performance of six container terminals in Korea from different port stakeholders’ perspectives. The empirical results indicate that the hybrid approach offers a diagnostic instrument to container terminals in identifying the particular areas for improvement to enhance their competitiveness.

Keywords: Port performance; Interdependency; Fuzzy logic; Evidential reasoning; DEMATEL; AHP (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (2)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-319-62338-2_12

Ordering information: This item can be ordered from
http://www.springer.com/9783319623382

DOI: 10.1007/978-3-319-62338-2_12

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().