Attitudes to language in literary sources:beyond post-colonialism in nigerian literature

All societies display attitudes to (varieties of) languages that tell us about the relative status of the groups that are associated to them. One method to document these is the systematic study of public discourses, including literary production. How (varieties of) languages are used, mentioned and characterised in a literary work tells us about their social status, and any change in this status should therefore be followed by changes in judgements on languages. This is demonstrated by the present paper with reference to the language attitudes in Nigeria, on the basis of two iconic Nigerian novels 2004 Purple Hibiscus and in 1958 classic postcolonial Things Fall Apart, separated by nearly fifty years. Ibo as well as Pidgin, Nigerian and European Englishes are presented in Purple Hibiscus in nuanced complementary configurations. A strong axiological polarisation is by contrast offered in Things Fall Apart between Ibo speakers and Ibo interpreters who are presented as cruel and ridiculous traitors siding with the English colonising power whose language, curiously, is not commented upon. Showing how a replicable method applied to language judgements can document social organisation and change, these results validate the view that the Nigerian society and culture has moved beyond the historically situated postcolonialist movement to embrace a globalised paradigm. © 2010 Taylor & Francis.

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 imprecise and vague data can be represented by linguistic terms characterised by fuzzy numbers in DEA to reflect the decision-makers' intuition and subjective judgements. This paper extends the conventional DEA models to a fuzzy framework by proposing a new fuzzy additive DEA model for evaluating the efficiency of a set of decision-making units (DMUs) with fuzzy inputs and outputs. The contribution of this paper is threefold: (1) we consider ambiguous, uncertain and imprecise input and output data in DEA, (2) we propose a new fuzzy additive DEA model derived from the a-level approach and (3) we demonstrate the practical aspects of our model with two numerical examples and show its comparability with five different fuzzy DEA methods in the literature. Copyright © 2011 Inderscience Enterprises Ltd.