Application of a collaborative modelling and strategic fuzzy decision support system for selecting appropriate resilience strategies for seaport operations

作     者：Andrew John Zaili Yang Ramin Riahi Jin Wang 

作者机构：Department of Marine and Offshore EngineeringSchool of Engineering Technology and Maritime OperationsLiverpool John Moores UniversityLiverpoolMersey sideUK 

出 版 物：《Journal of Traffic and Transportation Engineering(English Edition)》 (交通运输工程学报（英文版）)

年 卷 期：2014年第1卷第3期

页      面：159-179页

学科分类：081505[工学-港口、海岸及近海工程] 08[工学] 0815[工学-水利工程] 

基　　金：supported by EU-funded project WEASTFLOWS(2011-2015) 

主　　题：seaport resilience FAHP TOPSIS decision making 

摘      要：The selection of an appropriate resilience investment strategy to optimize the operational efficiency of a seaport is a challenging task given that many criteria need to be considered and modelled under an uncertain environment. The design of such a complex decision system consists of many subjective and imprecise parameters contained in different quantitative and qualitative forms. This paper proposes a fuzzy multi-attribute decision making methodology for the selection of an appropriate resilience investment strategy in a succinct and straightforward manner. The decision support model allows for a collaborative modelling of the system by multiple analysts in a group decision making process. Fuzzy analytical hierarchy process （FAHP） was utilized to analyse the complex structure of the system to obtain the weights of all the criteria while fuzzy technique for order of preference by similarity to ideal solution （TOPSIS） was employed to facilitate the ranking process of the resilience strategies. Given that it is often financially difficult to invest in all the resilience strategies, it is envisaged that the proposed approach could provide decision makers with a flexible and transparent tool for selecting appropriate resilience strategies aimed at increasing the resilience of seaport operations.