Uncertainty theory is a new branch of axiomatic mathematics for studying the subjective uncertainty. In uncertain theory, uncertain variable is a fundamental concept, which is used to represent imprecise quantities (unknown constants and unsharp concepts). Entropy of uncertain variable is an important concept in calculating uncertainty associated with imprecise quantities. This paper introduces...

This study developed a model that examined the relationship between undergraduate students' beliefs, norms and pro-environment behavioral intentions in the context of global climate change (GCC). The model was further evaluated to determine whether latent variables, such as sustainability value, environmental concern, social norms, perceived risk, pro-environmental attitude, as defined by the t...

The decision-making on approval of environmental impact assessment (EIA) is an intrinsically complex multi-dimensional process because it does not only consider the scientific facts but also reflect subjective values. The use of decision-support methods to balance facts and values can be beneficial for decision makers. This paper attempts to propose an integrated decision-support framework that...

This article investigates new score and accuracy functions for ranking interval-valued intuitionistic fuzzy numbers (IVIFNs). The novelty of these functions is that they allow the comparison of IVIFNs by taking into account of the decision makers’ attitudinal character. The new attitudinal expected score and accuracy functions extend Xu and Chen’s score and accuracy degree functions, and verify...

The use of outsourcing is expanding rapidly. This chapter empirically tests a model of application development outsourcing acceptance based on the technology acceptance model (TAM). TAM-suggested perceived usefulness and ease of use mediate the effects of other variables on users’ attitudes towards a technology. The model tested in this chapter suggests that perceived usefulness and ease of use...

To a considerable extent, risk aversion as it is commonly observed is caused by loss aversion. Several indexes of loss aversion have been proposed in the literature. The one proposed in this paper leads to a clear decomposition of risk attitude into three distinct components: basic utility, probability weighting, and loss aversion. The index is independent of the unit of payment. The main theor...

abstract background and purpose : stroke is a leading cause of death and functional disability. while there have been major advances regarding the management of stroke, a significant proportion of people are still unaware of stroke-related symptoms and risk factors. this study was performed to assess the public awareness and attitude of stroke warning signs and risk factors among a sample of ir...

conclusions although older patients need more self-care and the quality of this self-care originates from their attitude toward cvd risk factors, their lack of awareness about the main risk factor of their condition is a major challenge for secondary prevention measures. in addition, younger patients’ significant emphasis on biological risk factors as uncorrectable factors can reduce their sens...

This paper explains our proposed descriptive decision-making model under uncertainty elucidating different decision attitudes of humans. In this decision-making model, Dempster-Shafer Theory (DST) is used to represent uncertainty of the problem and the uncertainty is approximated by a probability distribution depending on the decision-makers’ attitude towards uncertainty. Prospect theory is the...