In original data envelopment analysis (DEA) models, the data for all inputs and outputs are known exactly. When some inputs and outputs are unknown decision variables, such as interval data, ordinal data, and ratio bounded data, the DEA model is called imprecise DEA (IDEA). In this paper, We develop an alternative approach based upon slacksbased measure of efficiency (SBM) for dealing with inte...

In this paper, basis in SC-FDMA uplink systems is investiga greedy algorithms are proposed allocation at each transmission time interval. Selection criteria based on spectral efficiency and fairness are also proposed to choose the final allocatio transmission time interval. Simulation results show that when the number of users and the velocity of the users were varied, the improved algorithms t...

interval-valued intuitionistic fuzzy sets (ivifss) are widely used to handle uncertainty and imprecision in decision making. however, in more complicated environment, it is difficult to express the uncertain information by an ivifs with considering the decision-making preference. hence, this paper proposes a group generalized interval-valued intuitionistic fuzzy soft set (g-givifss) which conta...

The interval mapping method is widely used for the mapping of quantitative trait loci (QTLs) in segregating generations derived from crosses between inbred lines. The efficiency of detecting and the accuracy of mapping multiple QTLs by using genetic markers are much increased by employing multiple QTL models instead of the single QTL models (and no QTL models) used in interval mapping. However,...

in order to study of drought tolerance levels in some wheat lines and cultivars based on uniform regional wheat yield trial (urwyt-m-75) an experiment was carried out using a strip plot design based on complete block design with 3 replications for two years (1998-2000) in torogh agricultural research station (mashhad, iran). the main plots (horizontal factor) were 3 levels of irrigation: 10, 20...

The conventional data envelopment analysis (DEA) measures the relative efficiencies of a set of decision making units (DMUs) with exact value of inputs and outputs. For imprecise data, i.e., mixtures of interval data and ordinal data, some methods have been developed to calculate the interval of the efficiency scores. This paper constructs a procedure to measure the efficiencies of DMUs with mi...