The linear rank test for two-sample data, which is a popular non-parametric statistical test, is extended to the case when the available data are imprecise rather than crisp. To do this, using some elements of credibility theory, we suggest a ranking method among imprecise observations and apply it to extend the usual concept of p-value leading a degree to accept or reject the null hypothesis o...

This paper introduces discretionary imprecise data in Data Envelopment Analysis (DEA) and discusses the efficiency evaluation of Decision Making Units (DMUs) with non-discretionary imprecise data. Then, suggests a method for evaluation the efficiency of DMUs with non-discretionary imprecise data. When some inputs and outputs are imprecise and non-discretionary, the DEA model becomes non-linear ...

Proposing a hierarchical group compromise method can be regarded as a one of major multi-attributes decision-making tool that can be introduced to rank the possible alternatives among conflict criteria. Decision makers’ (DMs’) judgments are considered as imprecise or fuzzy in complex and hesitant situations. In the group decision making, an aggregation of DMs’ judgments and fuzzy group compromi...

Triple stores have long provided RDF storage as well as data access using expressive, formal query languages such as SPARQL. The new end users of the Semantic Web, however, are mostly unaware of SPARQL and overwhelmingly prefer imprecise, informal keyword queries for searching over data. At the same time, the amount of data on the Semantic Web is approaching the limits of the architectures that...

supplier evaluation and selection is important in supply chain management. this is a typical multiple criteria decision making that consists of both quantitative and qualitative factors. ahp is a proper approach to aid this decision making problem, because of its inherent capacity to handle qualitative and quantitative criteria, but when criteria are dependent this method is not so good. also t...

BACKGROUND Ranking lists are a common way of reporting performance in cardiac surgery; however, rankings have shown to be imprecise, yet the extent of this imprecision is unknown. We aimed to determine the precision of, and fluctuations in, ranking lists in the comparison of cardiac surgery mortality rates. METHODS AND RESULTS Information on all adult cardiac surgery patients in all 16 cardio...

In most summarization approaches, sentence ranking plays a vital role. Most previous work explored different features and combined them into unified ranking methods. However, it would be imprecise to rank sentences from a single point of view because contributions from the features are onefold in these methods. In this paper, a novel supervised aggregation approach for summarization is proposed...

This paper proposes a method of ranking XML documents with respect to an Information Retrieval query by means of fuzzy logic. The proposed method allows imprecise queries to be evaluated against an XML document collection and it provides a model of ranking XML documents. In addition the proposed method enables sophisticated ranking of documents by employing proximity measures and the concept of...

data envelopment analysis (dea) is a widely recognized approach for evaluating the efficiencies of decision making units (dmus). because of easy and successful application and case studies, dea has gained much attention and widespread use by business and academy researchers. the conventional dea models (e.g. bcc and ccr) make an assumption that input and output data are exact values on a ratio ...

In the environment of business‐to‐business e‐commerce, Buyers and sellers in mature industrial markets can turn single transactions into long-term beneficial relationships by a deeper understanding of the complex connection between the two and buyers and sellers are uncertain about their roles. A “must-do” for the sellers, in particular, is to understand patterns of investment and reward,...