A new fuzzy additive model for determining the common set of weights in Data Envelopment Analysis

The main advantage of Data Envelopment Analysis (DEA) is that it does not require any priori weights for inputs and outputs and allows individual DMUs to evaluate their efficiencies with the input and output weights that are only most favorable weights for calculating their efficiency. It can be argued that if DMUs are experiencing similar circumstances, then the pricing of inputs and outputs should apply uniformly across all DMUs. That is using of different weights for DMUs makes their efficiencies unable to be compared and not possible to rank them on the same basis. This is a significant drawback of DEA; however literature observed many solutions including the use of common set of weights (CSW). Besides, the conventional DEA methods require accurate measurement of both the inputs and outputs; however, crisp input and output data may not relevant be available in real world applications. This paper develops a new model for the calculation of CSW in fuzzy environments using fuzzy DEA. Further, a numerical example is used to show the validity and efficacy of the proposed model and to compare the results with previous models available in the literature.

Evolving weights for a new United Kingdom Divisia

Divisia money is a monetary aggregate that gives each component asset an assigned weight. We use an evolutionary neural network to calculate new Divisia weights for each component utilising the Bank of England monetary data for the U.K. We propose a new monetary aggregate using our newly derived weights to carry out quantitative inflation prediction. The results show that this new monetary aggregate has better inflation forecasting performance than the traditionally constructed Bank of England Divisa money. This result is important for monetary policymakers, as improved construction of monetary aggregates will yield tighter relationships between key macroeconomic variables and ultimately, greater macroeconomic control. Research is ongoing to establish the extent of the increased information content and parameter stability of this new monetary aggregate.

The effects of negative affectivity on self-reported activity limitations in stroke patients:testing the symptom perception, disability and psychosomatic hypotheses

This study investigated whether Negative Affectivity (NA) causes bias in self-report measures of activity limitations or whether NA has a real, non-artifactual association with activity limitations. The Symptom Perception Hypothesis (NA negatively biases self-reporting), Disability Hypothesis (activity limitations cause NA) and Psychosomatic Hypothesis (NA causes activity limitations) were examined longitudinally using both self-report and objective activity limitations measures. Participants were 101 stroke patients and their caregivers interviewed within two weeks of discharge, six weeks later and six months post-discharge. NA and self-report, proxy-report and observed performance activity (walking) limitations were assessed at each interview. NA was associated with activity limitations across measures. Both the Disability and Psychosomatic Hypotheses were supported: initial NA predicted objective activity limitations at six weeks but, additionally, activity limitations at six weeks predicted NA at six months. These results suggest that NA both affects and is affected by activity limitations and does not simply influence reporting.

Inclusive education and intellectual disability:a sociological engagement with Martha Nussbaum

As a result of exclusionary tactics, social, cultural or economic disadvantage or disability, vast numbers of pupils have poor educational experiences and are either marginalised or demonised due to 'difficult differences'. In the context of Martha Nussbaum's capabilities approach, where she suggests that we ought to be who we want to be, this paper addresses intellectual disability, inclusion and inclusive education. It proposes that care, compassion, creativity and ethics are critical in understanding the education for all children and young people, rather than necessarily pedagogical process. In addition, it suggests that learning should take place within and through relationships and that these relationships are important in developing a healthy sense of self. Therefore politically, rather than following a path of blame whether it is the dysfunctional family, the deficit child or the economically deprived nation, this paper says that we require socially just practices, compassion and care as fundamental to human development, social inclusion and inclusive education. Ultimately, education is failing a large sum of children and young people and therefore needs to be radically reconsidered.

Mothering and intellectual disability:partnership rhetoric?

This paper is about mothering an intellectually disabled child identified with special educational needs. It specifically looks at the parent partnership rhetoric that has dominated UK government policy and directives for nearly three decades and yet research suggests parents and more often mothers have to battle to be recognised as legitimate experts. This paper engages with sociological analysis as it highlights via qualitative narratives that mothers are weighed down by the sheer number of professionals involved in their day-to-day life. Moreover, mothers whose children are not identified in the early years are often blamed in the first instance for playing a part in their child’s difficult behaviour. This research ultimately suggests that partnership work is important and necessary for practice within health, education and social work professions, not least of all because the emotional roller-coaster that mothers experience during the assessment and statementing process is disabling.

Improving minimax disparity model to determine the OWA operator weights

Determining the Ordered Weighted Averaging (OWA) operator weights is important in decision making applications. Several approaches have been proposed in the literature to obtain the associated weights. This paper provides an alternative disparity model to identify the OWA operator weights. The proposed mathematical model extends the existing disparity approaches by minimizing the sum of the deviation between two distinct OWA weights. The proposed disparity model can be used for a preference ranking aggregation. A numerical example in preference ranking and an application in search engines prove the usefulness of the generated OWA weights.