coping capacity (denoted by PCC j ) will begin with a step by step evaluation of feasibility factors -index numbers that are judged to reflect its strength or weakness vis a vis the last seven determinants of adaptive capacity. These factors will be subjective values assigned from a range bounded

of the expectations of incoming first-year university students (referred thereafter as the Student Expectation Survey). This survey was conducted at two British universities and asked students to evaluate their own performance at tests in literacy and numeracy, both in terms of absolute and relative scores

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Risk-based capital measures for operational risk management

and psychiatrist is also available. In this program evaluation, standardized measures of child behaviour (caregiver and teacher CBCL), parental stress (PSI) and management of child behaviour (MCBS) were obtained at pretest and post-intervention. Caregivers' and teachers' perception of knowledge gained

Abstract This paper examined the cocoa supply chain in Ghana using Transroyal (GH) Ltd as well as producing a supply chain model that is peculiar to transroyal Ghana limited. The paper conducted with strong data reliability and found to address some pertinent factors affecting the logistical

I declare that this thesis is my own account of my research and contains as its main content work which has not previously been submitted for a degree at any tertiary education institution.

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First, I would like to thank to Dimka Karastoyanova and Mariano Cilia for all the fruitful discussions, their guidance and support through the course of this project. Thanks also to Prof. Alejandro Buchmann who sponsored my stay at Technische Universität Darmstadt during the spring of 2004. The special thanks go to my advisor, Mariano Cilia, who has made all this possible. Finally, I’d like to thank to my family for all these years of support.

Abstract Basic ideas of rough set theory were proposed by Zdzis law Pawlak [85, 86] in the early 1980’s. In the ensuing years, we have witnessed a systematic, world–wide growth of interest in rough sets and their applications. The main goal of rough set analysis is induction of approximations of con-cepts. This main goal is motivated by the basic fact, constituting also the main problem of KDD, that languages we may choose for knowledge description are incomplete. A fortiori, we have to describe concepts of interest (features, proper-ties, relations etc.) not completely but by means of their reflections (i.e. approx-imations) in the chosen language. The most important issues in this induction process are: – construction of relevant primitive concepts from which approximations of more complex concepts are assembled, – measures of inclusion and similarity (closeness) on concepts, – construction of operations producing complex concepts from the primitive ones.