Internet users are assisted by means of distributed intelligent agents in the information gathering process to find the fittest information to their needs. In this paper we present a distributed intelligent agent model where the communication of the evaluation of the retrieved information among the agents is carried out by using linguistic operators based on the 2-tuple fuzzy linguistic represe...

The TURF Framework enables usability analysts evaluate EHRs by analyzing work tasks, users, representations, and functionality. Currently the TURF framework does not have a focus on evaluating clinical workflows across multiple tasks or across individuals . Because clinical workflows are vital to the successful implementation of an EHR, this study will augment the capabilities of the TURF usabi...

Fuzzy equality relations or indistinguishability operators generalize the concepts of crisp equality and equivalence relations in fuzzy systems where inaccuracy and uncertainty is dealt with. They generate fuzzy granularity and are an essential tool in Computing with Words (CWW). Traditionally, the degree of similarity between two objects is a number between 0 and 1, but in many occasions this ...

OBJECTIVES Snus use has increased among youth in Norway in recent years and is now more prevalent than smoking. Concurrently, a range of new products and package designs have been introduced to the market. The aim of this study was to explore how youth perceive snus branding and package design, and the role, if any, of snus packaging on perceptions of appeal and harm of snus among youth. PART...

e-tourism has evolved as a mainstay business for tourist service providers. it plays an integral role in the dissemination of information and influencing consumer’s preferences and satisfaction. the purpose of this study is to identify the dimensions of service quality perceptions of consumers in e-tourism in the indian context. it also aims to understand the relative impact of these service qu...

Learning about users’ preferences allows agents to make intelligent decisions on behalf of users. When we are eliciting preferences from a group of users, we can use the preferences of the users we have already processed to increase the efficiency of the elicitation process for the remaining users. However, current methods either require strong prior knowledge about the users’ preferences or ca...

present study focuses on the perceptions of information technology users at vali asr university of rafsanjan. accordingly, after reading the concourse (different views on the subject) appropriate q sample including 42 items that are representative of the concourse was selected. . the sample population for the study consisted of 58 professors, students and staff was selected and a questionnaire ...