Now showing items 1-10 of 30
Pushed to the Edge: Investigation into Ukrainian Construction Workers Operating in London
(Work, Employment and Society Conference, Migration Track, 2013-09-03)
In this article the nature of self-employment of illegal and legal Ukrainian migrants operating in the construction sector in UK is examined. The key aim of this article is to contribute to the discussion on the unexpected ...
Improving the computational complexity and weights dispersion in fuzzy DEA
(World Scientific Publishing Co, 2013)
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; ...
Allocating fixed resources and setting targets using a common-weights DEA approach
Data envelopment analysis (DEA) is a data-driven non-parametric approach for measuring the efficiency of a set of decision making units (DMUs) using multiple inputs to generate multiple outputs. Conventionally, DEA is used ...
An extended compromise ratio method for fuzzy group multi-attribute decision making with SWOT analysis
The technique for order preference by similarity to ideal solution (TOPSIS) is a well-known multi-attribute decision making (MADM) method that is used to identify the most attractive alternative solution among a finite set ...
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 ...
Imprecise data envelopment analysis for the two-stage process
The aggregate black-box approach of conventional Data Envelopment Analysis (DEA) limits its usefulness in situations where the observation is the result of independent decision making in sub-units (sub-DMUs), sequentially ...