Sustainability ranking of desalination plants using Mamdani Fuzzy Logic Inference Systems

As water desalination continues to expand globally, desalination plants are continually under pressure to meet the requirements of sustainable development. However, the majority of desalination sustainability research has focused on new desalination projects, with limited research on sustainability performance of existing desalination plants. This is particularly important while considering countries with limited resources for freshwater such as the United Arab Emirates (UAE) as it is heavily reliant on existing desalination infrastructure. In this regard, the current research deals with the sustainability analysis of desalination processes using a generic sustainability ranking framework based on Mamdani Fuzzy Logic Inference Systems. The fuzzy-based models were validated using data from two typical desalination plants in the UAE. The promising results obtained from the fuzzy ranking framework suggest this more in-depth sustainability analysis should be beneficial due to its flexibility and adaptability in meeting the requirements of desalination sustainability

Fuzzy Logic and Its Uses in Finance: A Systematic Review Exploring Its Potential to Deal with Banking Crises

The major success of fuzzy logic in the field of remote control opened the door to its application in many other fields, including finance. However, there has not been an updated and comprehensive literature review on the uses of fuzzy logic in the financial field. For that reason, this study attempts to critically examine fuzzy logic as an effective, useful method to be applied to financial research and, particularly, to the management of banking crises. The data sources were Web of Science and Scopus, followed by an assessment of the records according to pre-established criteria and an arrangement of the information in two main axes: financial markets and corporate finance. A major finding of this analysis is that fuzzy logic has not yet been used to address banking crises or as an alternative to ensure the resolvability of banks while minimizing the impact on the real economy. Therefore, we consider this article relevant for supervisory and regulatory bodies, as well as for banks and academic researchers, since it opens the door to several new research axes on banking crisis analyses using artificial intelligence techniques

A methodology for the selection of new technologies in the aviation industry

The purpose of this report is to present a technology selection methodology to quantify both tangible and intangible benefits of certain technology alternatives within a fuzzy environment. Specifically, it describes an application of the theory of fuzzy sets to hierarchical structural analysis and economic evaluations for utilisation in the industry. The report proposes a complete methodology to accurately select new technologies. A computer based prototype model has been developed to handle the more complex fuzzy calculations. Decision-makers are only required to express their opinions on comparative importance of various factors in linguistic terms rather than exact numerical values. These linguistic variable scales, such as ‘very high’, ‘high’, ‘medium’, ‘low’ and ‘very low’, are then converted into fuzzy numbers, since it becomes more meaningful to quantify a subjective measurement into a range rather than in an exact value. By aggregating the hierarchy, the preferential weight of each alternative technology is found, which is called fuzzy appropriate index. The fuzzy appropriate indices of different technologies are then ranked and preferential ranking orders of technologies are found. From the economic evaluation perspective, a fuzzy cash flow analysis is employed. This deals quantitatively with imprecision or uncertainties, as the cash flows are modelled as triangular fuzzy numbers which represent ‘the most likely possible value’, ‘the most pessimistic value’ and ‘the most optimistic value’. By using this methodology, the ambiguities involved in the assessment data can be effectively represented and processed to assure a more convincing and effective decision- making process when selecting new technologies in which to invest. The prototype model was validated with a case study within the aviation industry that ensured it was properly configured to meet the

International entrepreneurship education: postgraduate business students experiences of entrepreneurship education

Objectives The study aims to enhance understanding of the effectiveness of entrepreneurship education in meeting the expectations and motivations of international postgraduate students participating in UK business & management education. Specifically, it explores within sample groups of learners: RQ1. What is the typical profile of the international students’ prior education and work experience? RQ2. What do students expect from studying an entrepreneurship PG course in the UK? RQ3. What are their experiences of, and learning outcomes from, the entrepreneurship course? RQ4. What benefits regarding their skills and knowledge do they perceive result from participation? Prior Work International Postgraduate education has grown substantially in the last decade (UUK, 2010). There has been significant growth in international postgraduate student participation in UK business related subjects, involving both MBA and other Masters’ programmes such as MSc in Management and a range of specialist awards, which increasingly offer Entrepreneurship as a core or option. Prior research focuses on transnational comparisons between France, Germany and Poland (Packham et al, 2010) USA, Spain and China (Pruett et al, 2009) Africa and Europe (Davey et al, 2011) China (Millman et al, 2010) and Poland (Jones, et al, 2011) with relatively little research specifically addressing entrepreneurship for international students on postgraduate courses in the UK (Hall and Sung, 2009, Liu, 2010). Approach This article originates in the authors’ experiences in running postgraduate entrepreneurship modules for international students in UK Business Schools. They found that students often experienced concerns about a ‘mismatch’ between their expectations of UK business and management education and their actual experiences, with experiences of cultural tensions between prior learning experiences and their acculturation to the requirements and norms of UK business education. The study is a microcosm of a wider issue as these concerns are shared more generally by international Postgraduate students. Results The results confirmed that career development was a major motivator for international study in the UK. Interest in entrepreneurship is increasing but there are tensions between the expectations of the postgraduate experience and the experienced reality. Entrepreneurship was in some cases seen as a distinctive ‘peak experience’, but cultural factors, learning effectiveness and linguistic capability need to be addressed in designing learning programmes. Implications The study contributes new evidence and ideas to the debate on entrepreneurship education in meeting the career expectations and motivations of international postgraduate students participating in entrepreneurship education, especially in the light of new curricular guidance (QAA, 2012) and UK government regulation. Value It offers suggestions for educators on the effective design and delivery of entrepreneurship for international students in the rapidly changing and competitive postgraduate market

Seven Dimensions of Portability for Language Documentation and Description

The process of documenting and describing the world's languages is undergoing radical transformation with the rapid uptake of new digital technologies for capture, storage, annotation and dissemination. However, uncritical adoption of new tools and technologies is leading to resources that are difficult to reuse and which are less portable than the conventional printed resources they replace. We begin by reviewing current uses of software tools and digital technologies for language documentation and description. This sheds light on how digital language documentation and description are created and managed, leading to an analysis of seven portability problems under the following headings: content, format, discovery, access, citation, preservation and rights. After characterizing each problem we provide a series of value statements, and this provides the framework for a broad range of best practice recommendations.Comment: 8 page

A diversity-based approach to requirements tracing in new product development.

Production models emerged in recent times have stressed the need to face complex production contexts, characterized in particular by the rise in internal and environmental variability. In this work, a stylization of some elements concerning analysis and design of new products is given, and in particular those that involve definition and transfer phases in the development of innovative goods, where change and variability in requirements along development process are often high. This analysis has a twofold goal: first, to supply a conceptual frame for the close examination of some dynamics of requirement's integration into an artifact's design, in order to give account of their variability along development cycle; on the other side, to propose an approach based on simple similarity metrics, to be applied to linguistic descriptions of artifacts in the early phases of development process, in order to identify components in an artifact that undergo larger variability and therefore are to be paid more attention in the subsequent phases of life cycle.