A case-based distance method for screening in multiple-criteria decision aid

Screening is a process of multiple-criteria decision aid (MCDA) in which a large set of alternatives is reduced to a smaller set that most likely contains the best choice. We propose screening using a distance model calibrated on the basis of the decision-maker's own judgement. Viewing MCDA as preference aggregation based on consequence data, we define consequence and preference expressions (values and weights) and describe how they are aggregated. Then we define screening and explain some of its properties. Using an appropriate definition of distance, our case-based distance method screens a set of alternatives using criterion weights and a distance threshold obtained by quadratic optimization using the decision-maker's selection of alternatives from a test set. This case-based method can elicit the decision maker's preferences more expeditiously and accurately than direct inquiry. An application in water supply planning is used to demonstrate the procedure.     

A Comparison of Mental Health,Substance Use,and Sexual Risk Behaviors Between Rural and Non-Rural Transgender Persons

The aim of this study was to compare the mental health, substance use, and sexual risk behaviors of rural and non-rural transgender persons. Online banner advertisements were used to recruit 1,229 self-identified rural and non-rural transgender adults (18+ years) residing in the United States. Primary findings include significant differences in mental health between rural and non-rural transmen; relatively low levels of binge drinking across groups, although high levels of marijuana use; and high levels of unprotected sex among transwomen. The results confirm that mental and physical health services for transgender persons residing in rural areas are urgently needed.     

Business drivers not sector membership determine the most effective production planning and control; a novel approach to a perennial problem

This paper outlines research aimed at developing novel planning and scheduling reference models for industrial sectors where the MRPII paradigm is not appropriate. It outlines the process mapping approach adopted, the data capture method developed for the case study companies, the use of ARIS (Scheer's) enterprise modelling tool, and the first stages in the production of sector reference models.     

Managerial manpower planning— A systematic approach

At what ages should managers be recruited? Are the young managers receiving the right sort of experience at an early stage in their careers? What effect will the proposed merger have on the career prospects in the company.....? Questions such as these are likely to face every company from time to time, but finding the answers can be very difficult. The task may be made much easier through the application of some simple analytical techniques. These techniques are discussed here in the form of a case study.     

Moments of Inertia and Graph Separators

Graphs that arise from the finite element or finite difference methods often include geometric information such as the coordinates of the nodes of the graph. The geometric separator algorithm of Miller, Teng, Thurston, and Vavasis uses some of the available geometric information to find small node separators of graphs. The algorithm utilizes a random sampling technique based on the uniform distribution to find a good separator. We show that sampling from an elliptic distribution based on the inertia matrix of the graph can significantly improve the quality of the separator. More generally, given a cost function f on the unit d-sphere Ud, we can define an elliptic distribution based on the second moments of f. The expectation of f with respect to the elliptic distribution is less than or equal to the expectation with respect to the uniform distribution, with equality only in degenerate cases. We also demonstrate experimentally that the benefit gained by the use of the additional geometric information is significant. Some previous algorithms have used the moments of inertia heuristically, and suffer from extremely poor worst case performance. This is the first result, to our knowledge, that incorporates the moments of inertia into a provably good strategy.     

The Multicultural Welfare State: International Experience and North American Narratives

Contemporary debates are increasingly pessimistic about the impact of ethnic diversity on support for the welfare state. A growing number of analysts argue that greater ethnic diversity in Western democracies is weakening public support for redistribution, and that this underlying tension is exacerbated by the adoption of robust multiculturalism policies. The purpose of this essay is to summarize early findings from several studies that bear on the questions at the heart of such debates. These studies analyse the implications of immigration and multiculturalism policies for the welfare state across OECD countries, and also focus more closely on the experience of two distinctively multicultural countries, the United States and Canada. The evidence points to more complex relationships than often assumed. OECD countries with large foreign‐born populations have not had more difficulty in sustaining their welfare states than other countries. The extent of change does seem to matter, however, as countries in which immigrant communities grew rapidly between 1970 and the late 1990s did experience lower rates of growth in social spending. But despite the warnings of some critics, robust multiculturalism policies do not systematically exacerbate this tension. Moreover, the United States and Canada reflect different patterns. In the US racial diversity does weaken support for redistribution; but Canadian experience suggests that immigration, multiculturalism policies and redistribution can represent a stable political equilibrium. These contrasting narratives from North America stand as a warning against premature conclusions based on the US experience alone. There is no inevitability at work, and policy choices do seem to matter.