The objective of the paper is to propose a measurement model for trustworthiness of a document to ensure information security. The definition of trustworthiness in this context refers to the reliability value of the information in the document. The document here refers to an article or a web document. The proposed model relates to an approach for assessing trust of data for use of the information consumer. The model helps to capture multiple factors couple with risk profiles in the determination of the trustworthiness of content. It allows consideration of level of confidence and aggregation of attitude towards risk for normalization of a trust index. We use a fuzzy representation to allow the information consumer to decide their confidence level towards the importance of each criterion. The model enables an automated computation method for a straight forward computation for a unique and personalized trustworthiness. The paper also presents an implementation example for practicality of the proposed model.Keywords-Multicriteria decision support, fuzy set theory, fuzzy preference modeling, fuzzy information modelling and identification.
With the ever increasing complexity in IC design and with the introduction of flip chip technology, the pressing need for computer aided fault isolation (F!) is sensed. fanin tree is a collection of subsequent fan-rn signals with respect to a given node. As such, possible failing locations can be narrowed down to nodes that reside within the fanin tree only. Multiple fanin trees from multiple known failing nodes can also be intersected to locate common driving nodes. This paper presents an application program that was developed for Intel standard (.sch) netlist format. The result is FTREE; a fanin tree tool that is independent of product. This tool enhances the performance of other FA tools; but for its optimum usage, proper scan node selection is required during design stage. Selection ofthese nodes will also be presented.
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