CREAM cognitive function failure mode probability estimation data
Description
In this dataset, survey data from 5 experts to assign the weight for the levels of nine CPCs based on CREAM is included. The Dempster–Shafer theory (DST)(Shafer, 1976; Dempster, 2008), also called a “theory of evidence," is employed to fuse the experts' opinions on the CPCs. As a generalization of both probability and possibility theories (Ayyub & Klir, 2006), DST has the capacity to reduce uncertainty in evidence from different sources effectively and validly (Kavya et al., 2023). It is widely used in the process of combining evidence (Sezer et al., 2022; Bani-Mustafa et al., 2020). Consider a frame of discernment (FOD), Θ={H_1,〖 H〗_2…H_n }, containing finite and mutual exclusive hypotheses on the status of a parameter. In this case, one FOD for each CPC was considered, and the set contained the possible levels that the CPC can undergo. Through its strength to a power set, all the possible combinations of the levels are represented and called propositions: 2^Θ={∅,{H_1 },{H_2 },…{H_n },{H_1∪H_2 },… ,{H_1∪H_2∪…H_i },…{H_1∪H_2∪…H_n }} Each expert can assign a value (weight) to each combination of levels between [0,1] based on belief in the proposition. This can be expressed as a basic probability assignment (BPA), also referred to as the mass function m: 2^Θ→[0,1]. Based on the combined weights collected from the experts, the level of each CPC could be selected, and the corresponding multiplier for each cognitive function could be assigned. The other related work will be find on Journal Safety Science.
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Steps to reproduce
1. design a survey questionaire according to the CREAM nine CPCs with each levels 2. give the questionnaire and introduction of the different organizations to the experts 3. collect the experts' opinions on the weight of each level 4. fuse the experts' opinions on each CPCs to determine the CPCs' level 5. According to the cognitive function failure mode, basic value and multiplier according to CPCs' level from the CREAM to calculate the human reliability for each organization.