Now showing items 1-6 of 6
Positive and normative use of Fuzzy DEA-BCC models: A critical view on NATO enlargement
Data envelopment analysis (DEA) is a widely used mathematical programming approach for comparing the input and output of a set of comparable decision-making units (DMUs) by evaluating their relative efficiency. The traditional ...
An Application of Fuzzy Numbers Ranking in Performance Analysis
Data Envelopment Analysis (DEA) is a mathematical optimization technique that measures the relative efficiency of Decision Making Units (DMUs) with multiple input-output. In traditional DEA models, the data of different ...
Fuzzy Efficiency Measures in Data Envelopment Analysis Using Lexicographic Multiobjective Approach
There is an extensive literature in data envelopment analysis (DEA) aimed at evaluating the relative efficiency of a set of decision-making units (DMUs). Conventional DEA models use definite and precise data while real-life ...
Ideal and anti-Ideal decision making units: A fuzzy DEA approach
In this paper, by introducing two virtual decision-making units (DMUs) called ideal DMU (IDMU) and anti-ideal DMU (ADMU) with fuzzy inputs-outputs, the efficiency evaluation of DMUs are done by fuzzy data envelopment ...
An ideal-seeking fuzzy data envelopment analysis framework
Data envelopment analysis (DEA) is a widely used mathematical programming approach for evaluating the relative efficiency of decision making units (DMUs) in organizations. Crisp input and output data are fundamentally ...
Stability of RTS of efficient DMUs in DEA with fuzzy u0 under fuzzy data
An important property of production functions is the concept return to scale (RTS) as found in the literature. There are two common variations RTS in data envelopment analysis (DEA) used, constant return to scale (CRS) and ...