Data Envelopment Analysis (DEA) is a mathematical programming-based approach for evaluates the relative efficiency of a set of DMUs (Decision Making Units). The relative efficiency of a DMU is the result of comparing the inputs and outputs of the DMU and those of other DMUs in the PPS (Production Possibility Set). Also, in Data Envelopment Analysis various models have been developed in order to...

Sports persons’ performance evaluation is a critical issue. The parameters used for this purpose are vague and imprecise. We propose a fuzzy cognitive map based cricket player performance evaluator tool that uses fuzzy logic to perform computation keeping in view the relations among various input parameters. A very simple and effective graphical user interface is build to use the proposed model...

A method for ranking of alternatives or objects and its extensions by incomplete pairwise comparisons using Dempster-Shafer theory are proposed in the paper. The main feature of the method is that it allows us to deal with comparisons of arbitrary subsets of alternatives. The method is extended on the case of independent groups of experts. The imprecise Dirichlet model is also used to make caut...

data envelopment analysis (dea) is a method used for measuring the efficiency of decision-making units‎. unlike the standard models‎, ‎which assume decision-making units to be a black box‎, ‎network data envelopment analysis focuses on the internal structure of these units‎. ‎some researchers have developed a two-stage method where all the inputs are entirely used in the first stage‎, ‎producin...

Linear programming (LP) is an optimisation technique most widely used for optimal allocation of limited resources amongst competing activities. Precise data are fundamentally indispensable in standard LP problems. However, the observed values of the data in real-world problems are often imprecise or vague. Fuzzy set theory has been extensively used to represent A fuzzy LP model with fuzzy param...

sohrabi and nalchigar (2010) proposed a new data envelopment analysis (dea) model to identify the most efficient decision-making unit (dmu) in presence of imprecise data. in this paper, it is shown that the proposed model is not able to determine the most efficient dmu and is randomly introduced an efficient dmu. in addition, it is shown that this model determines the most efficient dmu in the ...