Doctoral Dissertations

Keywords and Phrases

Fuzzy Architecture Assessment; Fuzzy Associative Memory; Fuzzy Decision Analysis; Model & Simulation; Resiliency; System of Systems


”In today’s world it is no longer a question of whether a system will be compromised but when the system will be compromised. Consider the recent compromise of the Democratic National Committee (DNC) and Hillary Clinton emails as well as the multiple Yahoo breaches and the break into the Target customer database. The list of exploited vulnerabilities and successful cyber-attacks goes on and on. Because of the amount and frequency of the cyber-attacks, resiliency has taken on a whole new meaning. There is a new perspective within defense to consider resiliency in terms of Mission Success.

This research develops a new approach of assessing resiliency from the Mission Engineering perspective. Mission Engineering is a new field of systems engineering where the Mission is the system of interest. The Mission requires a SoS with the goal of Mission Success. To the literature, this research contributes an approach to evaluate SoS resiliency based on Mission Success. An agent-based model (ABM) called the SoS architecture resiliency model (SARM) was developed and is a second contribution to the literature. The SARM includes a fuzzy architecture assessor (FAA) as well as SoS behavior represented using fuzzy decision analysis (FDA). The SARM uses DoD architecture framework (DoDAF) views and includes threats. Results show that resiliency can be measured using SARM given the systems, capabilities, and interfaces. Tests with a generic SoS and with a specific SoS provide a proof of concept for the method. To summarize, this research contributes to the literature a method and an executable model for evaluating architecture resiliency as well as the FAA and the FDA”--Abstract, page iii.


Dagli, Cihan H., 1949-

Committee Member(s)

Corns, Steven
Enke, David Lee, 1965-
Kilicay-Ergin, Nil
Qin, Ruwen
Yarbrough, Allyson D.


Engineering Management and Systems Engineering

Degree Name

Ph. D. in Systems Engineering


Missouri University of Science and Technology

Publication Date

Fall 2020


xi, 80 pages

Note about bibliography

Includes bibliographic references (pages 73-79).


© 2020 Paulette Bootz Acheson, All rights reserved.

Document Type

Dissertation - Open Access

File Type




Thesis Number

T 11769

Electronic OCLC #