A DS–AHP approach for multi-attribute decision making problem with incomplete information

Hua, Zhongsheng; Gong, Bin; Xu, Xin

doi:10.1016/j.eswa.2007.02.021

Cited by 111 publications

(66 citation statements)

References 22 publications

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“…Alternatively, data may have been corrupted. This is achieved through an implementation of Dempster-Shafer Analytical Hierarchy Process (DS-AHP) [11], whereby each decision alternative (in this case each IP) is mapped onto a belief and plausibility interval. Consider a set of providers as corresponding to the proposition that the providers in that set are preferable to all other providers considered in the evaluation but not to each other.…”

Section: Infrastructure Provider Risk Assessmentmentioning

confidence: 99%

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A Risk Assessment Framework for Cloud Computing

Djemame

Armstrong

Guitart

et al. 2016

IEEE Trans. Cloud Comput.

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Abstract-Cloud service providers offer access to their resources through formal Service Level Agreements (SLA), and need wellbalanced infrastructures so that they can maximise the Quality of Service (QoS) they offer and minimise the number of SLA violations. This paper focuses on a specific aspect of risk assesment as applied in cloud computing: methods within a framework that can be used by cloud service providers and service consumers to assess risk during service deployment and operation. It describes the various stages in the service lifecycle wheres risk assessment takes place, and the corresponding risk models that have been designed and implemented. The impact of risk on architectural components, with special emphasis on holistic management support at service operation, is also described. The risk assessor is shown to be effective through the experimental evaluation of the implementation, and is already integrated in a cloud computing toolkit.

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Section: Infrastructure Provider Risk Assessmentmentioning

confidence: 99%

“…This results in the bpas in the form m i (s) where s is a set of one or more providers. Criteria bpas are combined using Dempster's rule of combination [11]. A set of intervals [Belief, Plausibility] for each single IP are then used to compute the order of preference for the IPs.…”

Section: Infrastructure Provider Risk Assessmentmentioning

confidence: 99%

A Risk Assessment Framework for Cloud Computing

Djemame

Armstrong

Guitart

et al. 2016

IEEE Trans. Cloud Comput.

View full text Add to dashboard Cite

show abstract

“…It has been revealed in the existing literature that classical MADM methods cannot efficiently handle a decision problem with imprecise data that decision criteria could contain as demonstrated in [18]. For that reason, the use of fuzzy logic is not only to deal with imprecise information, but to simultaneously combine and evaluate multiple criteria [19].…”

Section: Qos Based Schemesmentioning

confidence: 99%

User-Driven Network Selection during Vertical Handover in 4G Networks

Miyim¹,

Ismail²,

Nordin³

2017

JCTECS

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Abstract-The importance of network selection for wireless networks, is to facilitate users with various personal wireless devices to access their desired services via a range of available radio access networks. The inability of these networks to provide broadband data service applications to users poses a serious challenge in the wireless environment. Network Optimization has therefore become necessary, so as to accommodate the increasing number of users' service application demands while maintaining the required quality of services. To achieve that, the need to incorporate intelligent and fast mechanism as a solution to select the best value network for the user arises. This paper provides an intelligent network selection strategy based on the user-and network-valued metrics to suit their preferences when communicating in multiaccess environment. A user-driven network selection strategy that employs Multi-Access Service Selection Vertical Handover Decision Algorithm (MASS-VHDA) via three interfaces; WiFi, WiMAX and LTE-A is proposed, numerically evaluated and simulated. The results from the performance analysis demonstrate some improvement in the QoS and network blocking probability to satisfy user application requests for multiple simultaneous services.

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“…The rule of combination (equation 10) has also been used for data fusion in different applications (see e.g., Rottensteiner et al 2005;Basir et al 2005;Fan et al 2006). The Theory has also been applied to model multi-criteria decision making (see e.g., Beynon et al 2000;Hua et al 2008). …”

Section: Dempster-shafer Theorymentioning

confidence: 99%

A scoping inquiry into the potential contribution of Subjective Probability Theory, Dempster–Shafer Theory and Possibility Theory in accommodating degrees of belief in traveller behaviour research

Hensher

2014

Travel Behaviour and Society

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There is a small but growing interest in traveller behaviour research on investigating ways to identify and quantify degrees of belief (as subjective probabilities or other propositions) associated with behavioural responses, especially in the context of popular travel choice methods such as stated choice experiments, as a way of adding to our understanding of decision making in real-world contexts that are associated with inevitable risk and uncertainty. This paper reviews three major theories that are not well known in the transportation literature that have been developed in psychology and decision sciences to accommodate belief, namely Subjective Probability Theory, Dempster-Shafer Theory and Possibility Theory. We focus on how degrees of belief are measured in these theories. The key elements of each theoretical approach are compared, including their mathematical properties and evidence patterns. Despite their being few applications to date in transportation, the review promotes the relevance of accounting for degrees of belief in travel choice analysis. Keyword: belief, degree of belief, Subjective Probability Theory, Dempster-Shafer Theory, Possibility TheoryAcknowledgment: This study is supported by the Australian Research Council Discovery Program Grant DP110100454 titled "Assessment of the commuter's willingness to pay a congestion charge under alternative pricing regimes and revenue disbursement plans". We also thank two referees and the Becky Loo for comments.

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A DS–AHP approach for multi-attribute decision making problem with incomplete information

Cited by 111 publications

References 22 publications

A Risk Assessment Framework for Cloud Computing

A Risk Assessment Framework for Cloud Computing

User-Driven Network Selection during Vertical Handover in 4G Networks

A scoping inquiry into the potential contribution of Subjective Probability Theory, Dempster–Shafer Theory and Possibility Theory in accommodating degrees of belief in traveller behaviour research

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