Now showing items 1-20 of 21

• 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 ...
• An application of fuzzy TOPSIS method in an SWOT analysis ﻿

Analysis of strengths, weaknesses, opportunities and threats (SWOT) is a method to formulate the strategy. Although the SWOT analysis successfully provides the key factors of the problem, it has some drawbacks in selecting ...
• A common set of weight approach using an ideal decision making unit in data envelopment analysis ﻿

Data envelopment analysis (DEA) is a common non-parametric frontier analysis method. The multiplier framework of DEA allows flexibility in the selection of endogenous input and output weights of decision making units (DMUs) ...
• A data envelopment analysis model with discretionary and non-discretionary factors in fuzzy environments ﻿

Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of a set of decision-making units (DMUs) that use multiple inputs to produce multiple outputs. The standard DEA models assume that ...
• Data envelopment analysis with fuzzy parameters: An interactive approach ﻿

Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of a set of decision making units (DMUs) that use multiple inputs to produce multiple outputs. In the conventional DEA, all the data ...
• Data envelopment analysis with fuzzy parameters: An interactive approach ﻿

Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of a set of decision making units (DMUs) that use multiple inputs to produce multiple outputs. In the conventional DEA, all the data ...
• Data envelopment analysis: An efficient duo linear programming approach ﻿

Data envelopment analysis (DEA) is a powerful mathematical method that utilises linear programming (LP) to determine the relative efficiencies of a set of functionally similar decision-making units (DMUs). Evaluating the ...
• Efficiency analysis in two-stage structures using fuzzy data envelopment analysis. ﻿

Two-stage data envelopment analysis (TsDEA) models evaluate the performance of a set of production systems in which each system includes two operational stages. Taking into account the internal structures is commonly found ...
• Efficiency Evaluation in Two-stage Data Envelopment Analysis under a Fuzzy Environment: A Common-Weights Approach ﻿

Data envelopment analysis (DEA) has been genuinely known as an impeccable technique for efficiency measurement. In practice, since many production systems such as broadcasting companies, banking and R&D activities include ...
• Efficiency measurement in fuzzy additive data envelopment analysis ﻿

Performance evaluation in conventional data envelopment analysis (DEA) requires crisp numerical values. However, the observed values of the input and output data in real-world problems are often imprecise or vague. These ...
• An extension of LINMAP method for group decision making under fuzzy environment ﻿

The linear programming technique for multidimensional analysis of preference (LINMAP) as a multi-attribute decision-making (MADM) technique has a capability of determining the weights of attributes as well as providing a ...
• A fuzzy data envelopment analysis for clustering operating units with imprecise data ﻿

Data envelopment analysis (DEA) is a non-parametric method for measuring the efficiency of peer operating units that employ multiple inputs to produce multiple outputs. Several DEA methods have been proposed for clustering ...
• A fuzzy group linear programming technique for multidimensional analysis of preference ﻿

Although crisp data are fundamentally indispensable in the conventional linear programming technique for multidimensional analysis of preference (LINMAP), the observed values in the real-world problems are often imprecise ...
• A fuzzy linear programming model with fuzzy parameters and decision variables ﻿

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, ...
• 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 ...
• Improving the computational complexity and weights dispersion in fuzzy DEA ﻿

One of the prominent features of standard and fuzzy data envelopment analysis (DEA) is the representation of each of the participating decision making units (DMUs) in the best possible light. This causes two problems; ...
• 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 ...
• A robust optimization approach for imprecise data envelopment analysis ﻿

Crisp input and output data are fundamentally indispensable in traditional data envelopment analysis (DEA). However, the input and output data in real-world problems are often imprecise or ambiguous. Some researchers have ...
• 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 ...