Many interval number ranking methods cannot representthe different attitudes of decision makers with different riskappetites. Therefore, interval numbers are expressed in the RectangularCoordinate System (RCS). After mining the interval numbers in the RCS,the Symmetry Axis Compensation Factor, which is known as (lambda),was introduced, and the Equivalent Function o...

this paper introduces a new method for incorporating the performance of alternatives into their ultimate ranking in a linear assignment method. this method is one of multi-criteria decision-making methods, in which the weight of criteria is incorporated in ranking the alternatives, and the distance between the performances of alternatives do not affect in ranking the alternatives. in order to m...

The full ranking or complete ranking of decision making units is one of the main ‎issues in data envelopment analysis. A full ranking is a ranking that considers all ‎efficient and inefficient units simultaneously and finds a ranking for them. Almost all ‎of the developed ranking methods consider only the efficient units. On the other hand, ‎ranking inefficient units by traditional data envelop...

The decision making problem with interval numbers is an important topic of uncertain multiple attribute decision making. A difficulty to solve the interval decision making problems is the ranking method of interval numbers, because among the interval numbers exist cross, it’s difficult to ranking the alternatives directly. This paper studied how to make use of the traditional method for certain...

As we know, in evaluating of DMUs some of them might be efficient, so ranking of them have a high significant. One of the ranking methods is cross-efficiency. Cross efficiency evaluation in data envelopment analysis (DEA) is a commonly used skill for ranking decision making units (DMUs). Since, many studies ignore the intra-organizational communication and consider DMUs as a black box. For sign...

As the web evolves over time, the amount of versioned text collections increases rapidly. Most web search engines will answer a query by ranking all known documents at the (current) time the query is posed. There are applications however (for example customer behavior analysis, crime investigation, etc.) that would need to efficiently query these sources as of some past time, that is, retrieve ...

on account of the existence of uncertainty, dea occasionally faces the situation of imprecise data, especially when a set of dmus include missing data, ordinal data, interval data, stochastic data, or fuzzy data. therefore, how to evaluate the efficiency of a set of dmus in interval environments is a problem worth studying. in this paper, we discussed the new method for evaluation and ranking i...