An improved conflicting evidence combination approach based on a new supporting probability distance

Yu, Cholsok; Yang, Jianhong; Yang, Debin; Ma, Xianghong; Min, Hyonchun

doi:10.1016/j.eswa.2015.02.038

Cited by 70 publications

(31 citation statements)

References 25 publications

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“…For the illogical aspects mentioned earlier, conflict management in belief functions is a very important problem and has been already studied in the past. Many methods are proposed to deal with the conflict evidence combination problem . One of the efficient methods is the use of discounting coefficient.…”

Section: Preliminariesmentioning

confidence: 99%

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An Evidential Failure Mode and Effects Analysis Using Linguistic Terms

Xiao

Fei

et al. 2016

Quality & Reliability Eng

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Failure mode and effects analysis (FMEA) has been extensively used in reliability engineering domain. Risk priority number (RPN), defined as the product of occurrence (O), severity (S), and detection (D) of a failure, is the most important measure used in FMEA for prioritizing risk. In this paper, a new evidential FMEA using linguistic term is presented. First, the linguistic terms have been applied in the form of assessment distribution, which enables the experts to express their assessments in a more realistic way and hence improving the applicability of the FMEA. Second, a novel method to transform the experts' linguistic judgments into basic probability assignments (BPAs) is proposed. Third, the flexibility of assigning a weight to each criterion in the FMEA provides a means of specifically identifying weak areas in the system/component studied. At the same time, the weights can be utilized as the discounting coefficients to address the problem existing in conflicting evidence combination. An example is illustrated to show the practical application of the proposed FMEA methodology in engineering. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: Preliminariesmentioning

confidence: 99%

“…Many methods are proposed to deal with the conflict evidence combination problem. [70][71][72][73][74] One of the efficient methods is the use of discounting coefficient. Discounting coefficient can be seen as reliability coefficients.…”

Section: Example 22mentioning

confidence: 99%

An Evidential Failure Mode and Effects Analysis Using Linguistic Terms

Xiao

Fei

et al. 2016

Quality & Reliability Eng

View full text Add to dashboard Cite

show abstract

“…Many scholars [4][5][6][7][8][9][10][11][12][13][14][15][16][17][19][20][21][22][23][26][27][28][29][30]34,36,40,41] focused on conflict analysis of information systems, and improved the relationship between the two sides of a conflict by finding the essence of the conflict issue. For example, Deja [5] examined nature of conflicts as we are formally defining the conflict situation model.…”

Section: Introductionmentioning

confidence: 99%

“…Yang et al [34] investigated evidence conflict and belief convergence based on the analysis of the degree of coherence between two sources of evidence and illustrated the stochastic interpretation for basic probability assignment. Yu et al [36] provided the supporting probability distance to characterize the differences among bodies of evidence and gave a new combination rule for the combination of the conflicting evidence. Zhu et al [41] studied the problems of conflicts of interest in database access security using granular computing based on covering rough set theory.…”

Section: Introductionmentioning

confidence: 99%

Conflict Analysis for Pythagorean Fuzzy Information Systems

et al. 2017

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Pythagorean fuzzy sets provide stronger ability than intuitionistic fuzzy sets to model uncertainty information and knowledge, but little effort has been paid to conflict analysis of Pythagorean fuzzy information systems. In this paper, we present three types of positive, central, and negative alliances with different thresholds, and employ examples to illustrate how to construct the positive, central, and negative alliances. Then we study conflict analysis of Pythagorean fuzzy information systems based on Bayesian minimum risk theory. Finally, we investigate group conflict analysis of Pythagorean fuzzy information systems based on Bayesian minimum risk theory.

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“…It should also be noted that the conflict in D-S evidence theory is an open issue. Many methods have been proposed to address this issue [33,44].…”

Section: Dempster-shafer Evidence Theorymentioning

confidence: 99%

A Novel Network Security Risk Assessment Approach by Combining Subjective and Objective Weights under Uncertainty

et al. 2018

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Nowadays, computer networks are playing a more and more important role in people's daily lives. Meanwhile, the security of computer networks has also attracted widespread concern. However, up to now, there is no universal and effective assessment approach for computer network security. Therefore, a novel network security risk assessment approach by combining subjective and objective weights under uncertainty is proposed. In the proposed evaluation approach, the uncertainty of evaluation data is taken into account, which is translated into objective weights through an uncertainty measure. By combining the subjective weights of evaluation criteria and the objective weights of evaluation data, the final weights can be obtained. Then, Dempster-Shafer (D-S) evidence theory and pignistic probability transformation (PPT) are employed to derive a consensus decision for the degree of the network security risk. Two illustrative examples are given to show the efficiency of the proposed approach. This approach of risk assessment, which combines subjective and objective weights, can not only effectively evaluate computer network security, but also be widely used in decision-making.

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An improved conflicting evidence combination approach based on a new supporting probability distance

Cited by 70 publications

References 25 publications

An Evidential Failure Mode and Effects Analysis Using Linguistic Terms

An Evidential Failure Mode and Effects Analysis Using Linguistic Terms

Conflict Analysis for Pythagorean Fuzzy Information Systems

A Novel Network Security Risk Assessment Approach by Combining Subjective and Objective Weights under Uncertainty

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