This article integrates fuzzy set theory in Data Envelopment Analysis (DEA) framework to compute technical efficiency scores when input and output data are imprecise. In conventional DEA inputs and outputs data are precise. However, traffic and transportation take place in an uncertain environment and input and output data might be imprecise. This article proposes a possibility approach for sol...

0888-613X/$ see front matter 2010 Elsevier Inc doi:10.1016/j.ijar.2010.08.007 ⇑ Corresponding author. E-mail addresses: [email protected] (G. Corani), ca We present TANC, a TAN classifier (tree-augmented naive) based on imprecise probabilities. TANC models prior near-ignorance via the Extreme Imprecise Dirichlet Model (EDM). A first contribution of this paper is the experimental comparison betwe...

In the present paper, we introduce an extension of the conceptual graph model suitable to the representation 7 of data which are modelized using fuzzy sets. We extend the specialization relation of the conceptual graph model to fuzzy conceptual graphs. Lastly we introduce a new way of comparing conceptual graphs, using the 9 idea that a graph may be compatible with another graph with a given de...

———————————————————————————————Abstract The economic efficiency (EE) measure in non-convex technologies requires the data of input/output vectors and prices to be known deterministically. But as regards the data of the production process in many real-world applications, rather than dealing with crisp real numbers and crisp intervals, one has to deal with ”approximate” numbers or intervals of th...

In this paper, a method has been developed to construct the membership surfaces of row and column vectors and arithmetic operations of imprecise matrix. A matrix with imprecise elements would be called an imprecise matrix. The membership surface of imprecise vector has been already shown based on Randomness-Impreciseness Consistency Principle. The RandomnessImpreciseness Consistency Principle l...