An Evaluation Approach of Subjective Trust Based on Cloud Model

Abstract

As online trade and interactions on the internet are on the rise, a key issue is how to use simple and effective evaluation methods to accomplish trust decision-making for customers. It is well known that subjective trust holds uncertainty like randomness and fuzziness. However, existing approaches which are commonly based on probability or fuzzy set theory can not attach enough importance to uncertainty. To remedy this problem, a new quantifiable subjective trust evaluation approach is proposed based on the cloud model. Subjective trust is modeled with cloud model in the evaluation approach, and expected value and hyper-entropy of the subjective cloud is used to evaluate the reputation of trust objects. Our experimental data shows that the method can effectively support subjective trust decisions and provide a helpful exploitation for subjective trust evaluation

An Uncertainty Enhanced Trust Evolution Strategy for e-Science

“…Furthermore, time is not considered as a factor in the current updating algorithm. In [28], Wang et al present the time model of reputation to reflect the opinion that evaluation data of subjective reputation is only effective for a given period of time. In order to evaluate the effectiveness of reputation, they design basic rules to decide the effectiveness of a reputation data by weighting.…”

“…Although [18][19][20][21][22][23][24][25][26][27][28] all define the trust relationship between a pair of entities or agents as a normal cloud, different trust management mechanisms have been proposed. He et al [18][19][20] claim that trust computation consists of trust propagation and combination.…”

“…To improve trust model for open environments, some literatures [18][19][20][21][22][23][24][25][26][27][28] have introduced cloud model theory [14][15][16][17] to trust management. This theory was firstly proposed in 1990' by Li as a transforming model between a linguistic term of a qualitative concept and its numerical representation.…”

A Cloud-Based Trust Model for Evaluating Quality of Web Services

“…In this paper, we attempt to adapt Cloud Model in the field of artificial intelligence with uncertainty to represent computable factors of trust relation in order to rationally express the subjective uncertainty of trust. The Cloud Model proposed by De-Yi Li [32] can uniformly express randomness and fuzziness in the trust relation based on random mathematic and fuzzy set theory, and already has been applied in related areas of trust such as subjective trust modeling and evaluation [33][34] .…”

“…After calculating the weights, we can apply the weighted backward generation cloud algorithm proposed in [34] in calculating Ex, En, and He.…”