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College of Computer Science and Engineering


Systems Engineering Department


"A Multi-Criteria Decision Analysis Approach for Importance Identification and Ranking of Network Components"



Date: Wednesday, 6th Nov, 2019

Time:  3:00 pm

Location: Building 22, Room 130



Dr. Yasser AL-Moghathawi

Assistant Professor

Systems Engineering Department

King Fahd University of Petroleum and Minerals



Analyzing network vulnerability is a key element of network planning in order to be prepared for any disruptive event that might impact the performance of the network. Hence, many importance measures have been proposed to identify the critical components in a network with respect to vulnerability and rank them accordingly based on individual importance measures. However, in this work, we propose a new approach to identify the most important network components based on multiple importance measures using a multi criteria decision making method, namely the technique for order performance by similarity to ideal solution, TOPSIS, which takes into account the preferences of decision-makers. We consider multiple edge-specific flow-based importance measures provided as the multiple criteria of a network where the alternatives are the edges. Accordingly, TOPSIS is used to rank the edges of the network based on their importance considering multiple different importance measures. The proposed approach is illustrated through a network example along with the effects of weights.     


Speaker Bio:

Yasser Almoghathawi is an Assistant Professor in the Systems Engineering Department at KFUPM. He received B.S. and M.S. degrees in Industrial and Systems Engineering from KFUPM and a Ph.D. degree from the School of Industrial and Systems Engineering at The University of Oklahoma. His research interests broadly deal with operations research, including networks optimization, mathematical modeling, facility location, and sequencing and scheduling.



All faculty, researchers and graduate students are invited to attend.


Systems Engineering Department, College of Computer Sciences and Engineering

Telephone: +966 (13) 860 2988, Email:, Website:


Copyright © 2014 King Fahd University of Petroleum & Minerals




06 Nov 2019


03:00 PM to 04:00 PM