[PDF] Top 20 Evaluating the efficiency and classifying the fuzzy data: A DEA based ‎approach

... of fuzzy flexible measures where flexible and fuzzy data ...Actually, fuzzy DEA models have been modified and ...for evaluating the efficiency of DMUs and clas- sifying ... See full document

... The DEA concept was introduced by Charnes, Cooper and Rhodes in his journal entitled measuring the efficiency of decision making units ...[4]. Data Envelopment Analysis (DEA) method is made as ... See full document

... supplier’s efficiency and classify them into two categories as efficient or inefficient but cannot decide the best supplier that suits the manufacturer’s criteria since all efficient suppliers are equally ... See full document

... use DEA to measure efficiency of selected bus transit systems in the United ...BCC based approach. She uses DEA to measure efficiency of 23 bus transit ...use DEA for ... See full document

... the fuzzy set theory [20]. When some observations are fuzzy, the goal and constraints in the decision process become fuzzy as ...several fuzzy approaches to the assessment of efficiency ... See full document

... are Fuzzy inputs and Fuzzy outputs, ...of Fuzzy data by transferring the standard CCR model to a pos- sibility programming ...cut approach to transform the Fuzzy CCR model into a ... See full document

... the approach proposed by Thomas et ...with DEA such that the average efficiency of each facility becomes ...an approach to deal with both location and allocation problems simultaneously by ... See full document

... speaking nation in the world. In Asia, the country's supply of IT workers is second only to that of India, which has a population of over one billion. The findings of this study suggest that in order to become a ... See full document

... original DEA models assume that inputs and outputs are indicated as crisp ...on DEA models incorporating imprecise ...–cut based approach to transform a fuzzy DEA model to a ... See full document

... (1978), based on the work of Farrell's creative method was inadequate, that decision became known to the evaluation DMUs, the base model and is based on data envelopment analysis ...(DEA). ... See full document

... Data envelopment analysis (DEA) is a non- parametric method that utilized linear programming (LP) techniques to empirically obtain the best production (efficient) frontier and evaluates the efficiencies of ... See full document

... of DEA for firms with similar resources and operations providing similar products and services (Oral & Yololan, ...the efficiency based on ... See full document

... The first empirical application of the decomposition of productivity changes into technical and technological changes was used to measure hospital productivity in Sweden by Nishimizu and Page [18]. The enhanced ... See full document

... way of implementation process according to environmental circumstances and the way of implementation of strategy is concerned. BSC is considered as a new performance measurement system which surveys the organization on ... See full document

... 2006). DEA measures the relative efficiency of an institute and objectivity is the most important advantage ...The efficiency of each DMU measured as the ratio of weighted outputs to weighted inputs, ... See full document

... preserving efficiency classification of variable returns to scale technology in DEA‖, Journal of Industrial Engineering International, ISSN 2251-712X, Springer, Heidelberg, ... See full document

... technical efficiency compares the actual level of input used to the level at which it would be used by farm ‘i’ to obtain the same output ‘y’, but at the efficient ... See full document

... Looking at Table 2 as a whole, the average TE of innovation and entrepreneurship education of the case university is 0.705, which is 29.5% lower an the best level, and the TE of 15 schools are higher than the average. ... See full document

... Although there is upsurge in research on the subject, what constitute input and output of a bank is still a controversy in the literature. Principally, there are three approaches in identifying the input and output of a ... See full document

... Neuroph has been repeatedly applied in classifying neural network based entities with varied parameters and associated classes. Neuroph is a lightweight Java neural network framework used in developing ... See full document