In this paper, three kinds of uncertain complex system are discussed by analyzing uncertainty of information, and their respective connotation characteristic along with the main difference and connection are elaborated from theory method, which make it convenient for people to best distinguish and handle uncertain problem. Finally, a kind of uncertain information system just born and a vital pr...

The intuitionistic uncertain fuzzy linguistic variable can easily express the fuzzy information, and the power average (PA) operator is a useful tool which provides more versatility in the information aggregation procedure. At the same time, Einstein operations are a kind of various t-norms and t-conorms families which can be used to perform the corresponding intersections and unions of intuiti...

Entropy is used as a quantitative measurement of the information deficiency. In uncertain set theory, logarithm entropy for uncertain set has been proposed. However, it fails to measure the degree of uncertainty associated with some uncertain sets. Thus this paper will propose sine entropy for uncertain set as a supplement, and investigate its properties such as translation invariance and posit...

uncertainty analysis is a useful tool to evaluate soil water simulations in order to get more information about the models output. these information provide more confidence for decision making processes. in this study, swap model is applied for soil water balance simulations in two fields which are planted by wheat and maize in an arid region. first the amount of uncertainty is estimated and co...

This paper presents an argumentation-based framework for the modelling of, and automated reasoning about multi-attribute preferences of a qualitative nature. The framework presents preferences according to the lexicographic ordering that is well-understood by humans. Preferences are derived in part from knowledge. Knowledge, however, may be incomplete or uncertain. The main contribution of the ...

Big data are everywhere as high volumes of varieties of valuable precise and uncertain data can be easily collected or generated at high velocity in various real-life applications. Embedded in these big data are rich sets of useful information and knowledge. To mine these big data and to discover useful information and knowledge, we present a data analytic algorithm in this article. Our algorit...