Fuzzy logic based clustering algorithm for management in critical infrastructure

Kasmi, Ouafae; Baïna, Amine; Bellafkih, Mostafa

doi:10.1007/s10586-020-03113-2

Cited by 7 publications

(4 citation statements)

References 34 publications

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“…72, Issue 1 (2014) proposed an integrated method consisting of: Decision Making Testing and Evaluation Laboratory (DEMATEL) and Analytical Network Process (ANP) for the analysis of CI interdependencies that takes into account the feedback effects between different CIs (Trivedi, 2018). The study Kasmi et al (2021) presents the fuzzy logic-based clustering algorithm to better identify and analyze the overall interdependencies between entities in CIs. ANP and DEMATEL were used to find interdependencies between components in an urban area.…”

Section: Literature Reviewmentioning

confidence: 99%

Application of mathematical optimization in decision making relevant to the resilience of national security: Networked society as the basis of interdependence of critical resources

Bojanić,

Platiša

et al. 2024

Vojnotehnički glasnik

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Introduction/purpose: Destabilization of critical resources (CRs) or critical infrastructure (CI) important for the stability of the state can be dangerous for society, economy, and especially national security. Disruption of one CI object or one of its parts often affects and causes disruption of other dependent CI, because the modern society has become a "networked society". The paper proposes a model for quantifying and defining the interdependence between different CIs and their priorities, based on statements of experts. Methods 9 : The proposed methods that combine the Laboratory for Testing and Evaluation of Decision Making (DEMATEL) and the Analytical Network Process (ANP) have been successfully modified by fuzzy logic theory in this work. Results: Integrating multiple methods into a unique input data analysis model significantly affects the change in ranking. Conclusion: The work contributes to military science in making strategic decisions related to national security management through increasing the resilience of CRs and the societies that rely on them.

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Section: Literature Reviewmentioning

confidence: 99%

Application of mathematical optimization in decision making relevant to the resilience of national security: Networked society as the basis of interdependence of critical resources

Bojanić,

Platiša

et al. 2024

Vojnotehnički glasnik

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“…In the FCM method, data grouping is carried out for each data to be assigned to a cluster determined by the degree of membership [56]. After forming the centroid cluster, the next step is forming membership degree, where the degree of dependency can measure interactions among components by weight assignment [57], as performed calculations use Equation 6, for example: 0.00014 = ((0.017328762 -0.371941247) The results of calculating the membership degree formation are shown in Table 16. Based on the accumulation of the membership degree value, the objective value is calculated using Equation 7, by subtracting the new objective value from the previous objective = 0, so the result that is obtained in the first iteration is 1.42178.…”

Section: 5determining Cluster Of Villagementioning

confidence: 99%

Determining rural development priorities using a hybrid clustering approach: a case study of South Sulawesi, Indonesia

2023

IJATEE

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South Sulawesi province implements a village assistance program. The program aims to ensure the successful implementation of village development activities, reduce urbanization, and address development problems in rural areas. This research discusses finding alternative solutions to determining the priority status of villages that need assistance from experts. Village assistance is an activity in the context of developing self-sufficiency and feasibility of

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“…The main results demonstrate that the electricity sector is the sector with the highest systemic criticality, followed by IT and emergency response. The research developed by Kasmi et al [23] is also very interesting in that it proposes a fuzzy logic-based clustering algorithm for management of CIs. A new safety allocation approach named critical risks method (CRM) for CIs is proposed by Di Bona et al [24].…”

Section: Cluster#1 "Risk Assessment" (39 Documents)mentioning

confidence: 99%

Critical Infrastructures Overview: Past, Present and Future

2022

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Industrialized societies depend on the proper functioning of a whole range of technological infrastructures, such as electricity, road and railway networks and telecommunications which, due to their importance, are generically referred to as critical infrastructures (CIs). Technical failures, natural disasters and malicious events, if not terrorist, could have devastating effects on these infrastructures. The events of the last few years have accelerated efforts to identify and designate CIs at national and European levels and have reinforced concerns about increasing their protection in sensitive sectors for the safety of the individual and the community. The aim of this research is to provide the basic elements to understand the issue along with the reasons for its importance both at national, European and international level. In particular, after analyzing the origin of the problem, a systematic literature review is carried out to study the current research around future perspectives relating to the management of Cis, with particular focus on three research questions: RQ1 “What types of risk assessment methods are used to manage CIs?”, RQ2 “What are the environmental risk mitigation strategies for CIs?” and RQ3 “What is the role of the human factor in the prevention of risks for CIs?”. The results aim to be guidelines for decision makers and researchers interested in this topic.

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Fuzzy logic based clustering algorithm for management in critical infrastructure

Cited by 7 publications

References 34 publications

Application of mathematical optimization in decision making relevant to the resilience of national security: Networked society as the basis of interdependence of critical resources

Application of mathematical optimization in decision making relevant to the resilience of national security: Networked society as the basis of interdependence of critical resources

Determining rural development priorities using a hybrid clustering approach: a case study of South Sulawesi, Indonesia

Critical Infrastructures Overview: Past, Present and Future

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