Knowledge reduction in random information systems via Dempster–Shafer theory of evidence

Wu, Wei-Zhi; Zhang, Mei; Huai-zu, LI; Mi, Jin‐Xiao

doi:10.1016/j.ins.2004.09.002

Cited by 203 publications

(80 citation statements)

References 16 publications

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“…More detailed explanation of ERA is available in wide scientific literature about this subject with many examples for technical systems state analysis [30][31][32], organizational decision making [33][34][35] and rarely for the evaluation of humans properties [14,36,37].…”

Section: Evidential Reasoning Algorithmmentioning

confidence: 99%

An Information Security and Privacy Self Assessment (ISPSA) Tool for Internet Users

Galba

Šolić

Lukić³

2015

APH

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Section: Evidential Reasoning Algorithmmentioning

confidence: 99%

An Information Security and Privacy Self Assessment (ISPSA) Tool for Internet Users

Galba

Šolić

Lukić³

2015

APH

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“…5 It is one of the powerful tools to deal with uncertainty and has been applied in many fields. [30][31][32][33][34] In the D-S evidence theory, a sample space is called the frame of discernment which is denoted by  . A basic hypothesis in  is represented…”

Section: Dempster-shafer's Evidence Theorymentioning

confidence: 99%

Group Evidential Reasoning Approach for MADA under Fuzziness and Uncertainties

Zhou¹,

Liu²,

Yang³

et al. 2013

IJCIS

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Multiple attribute decision analysis (MADA) problems often include both qualitative and quantitative attributes which may be either precise or inaccurate. The evidential reasoning (ER) approach is one of reliable and rational methods for dealing with MADA problems and can generate aggregated assessments from a variety of attributes. In many real world decision situations, accurate assessments are difficult to provide such as in group decision situations. Extensive research in dealing with imprecise or uncertain belief structures has been conducted on the basis of the ER approach, such as interval belief degrees, interval weights and interval uncertainty. In this paper, the weights of attributes and utilities of evaluation grades are considered to be fuzzy numbers for the ER approach. Fuzzy analytic hierarchy process (FAHP) is used for generating triangular fuzzy weights for attributes from a triangular fuzzy judgment matrix provided by an expert. The weighted arithmetic mean method is proposed to aggregate the triangular fuzzy weights of attributes from a group of experts. α-cut is then used to transform the combined triangular fuzzy weights to interval weights for the purpose of dealing with the fuzzy type of weight and utility in a consistent way. Several pairs of group evidential reasoning based nonlinear programming models are then designed to calculate the global fuzzy belief degrees and the overall expected interval utilities of each alternative with interval weights and interval utilities as constraints. A case study is conducted to show the validity and effectiveness of the proposed approach and sensitivity analysis is also conducted on interval weights generated by different α-cuts.

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“…This algorithm has proven to be useful in many practical cases of analysis of different technical systems, both static and dynamic states, comparison between or with referent values [6][7][8][9][10][11][12]. In this work the user is considered to be a constitutive part of the ICT system which implies that the chosen algorithm for system state evaluation could be appropriate.…”

Section: Introductionmentioning

confidence: 99%

Evidential Reasoning Approach to Behavioural Analysis of ICT Users’ Security Awareness

2018

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Abstract:The role of ICT system's user should be taken into consideration when developing different information security solutions because user, as its constitutive element, can significantly affect overall system security with his/her potentially risky behaviour depending on the level of user's security awareness. In this paper authors propose risk assessment approach of ICT users' behaviour based on the evidential reasoning technique. Performance testing was compared using combination of cluster analysis and discriminant analysis while empirical analysis was conducted on the total of 627 e-mail users grouped regarding gender, age, technical background knowledge and level of experience. Assessment methodology used in this paper has proven to be well suited for evaluation of users' awareness and identification of their potentially risky behaviour. Results of empirical analysis showed that all groups of users got overall utility grade higher than the simulated "minimally enough aware" user, but less than "average awareness" grade. As users of all groups are highly critical towards collocutor, it can mean that users are quite aware about the importance of information security foundation, but also about lack of knowledge regarding different security issues. Another possible reason may be the users' negligence toward security guidelines and protocols.

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Knowledge reduction in random information systems via Dempster–Shafer theory of evidence

Cited by 203 publications

References 16 publications

An Information Security and Privacy Self Assessment (ISPSA) Tool for Internet Users

An Information Security and Privacy Self Assessment (ISPSA) Tool for Internet Users

Group Evidential Reasoning Approach for MADA under Fuzziness and Uncertainties

Evidential Reasoning Approach to Behavioural Analysis of ICT Users’ Security Awareness

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