Optimization of gaussian fuzzy membership functions and evaluation of the monotonicity property of fuzzy inference systems

In this paper, two issues relating to modeling of a monotonicity-preserving Fuzzy Inference System (FIS) are examined. The first is on designing or tuning of Gaussian Membership Functions (MFs) for a monotonic FIS. Designing Gaussian MFs for an FIS is difficult because of its spreading and curvature characteristics. In this study, the sufficient conditions are exploited, and the procedure of designing Gaussian MFs is formulated as a constrained optimization problem. The second issue is on the testing procedure for a monotonic FIS. As such, a testing procedure for a monotonic FIS model is proposed. Applicability of the proposed approach is demonstrated with a real world industrial application, i.e., Failure Mode and Effect Analysis. The results obtained are analysis and discussed. The outcomes show that the proposed approach is useful in designing a monotonicity-preserving FIS model.

Direct versus search engine traffic : an innovative approach to demand analysis in the property market

Purpose – The application of “Google” econometrics (Geco) has evolved rapidly in recent years and can be applied in various fields of research. Based on accepted theories in existing economic literature, this paper seeks to contribute to the innovative use of research on Google search query data to provide a new innovative to property research.

Design/methodology/approach – In this study, existing data from Google Insights for Search (GI4S) is extended into a new potential source of consumer sentiment data based on visits to a commonly-used UK online real-estate agent platform (Rightmove.co.uk). In order to contribute to knowledge about the use of Geco's black box, namely the unknown sampling population and the specific search queries influencing the variables, the GI4S series are compared to direct web navigation.

Findings – The main finding from this study is that GI4S data produce immediate real-time results with a high level of reliability in explaining the future volume of transactions and house prices in comparison to the direct website data. Furthermore, the results reveal that the number of visits to Rightmove.co.uk is driven by GI4S data and vice versa, and indeed without a contemporaneous relationship.

Originality/value – This study contributes to the new emerging and innovative field of research involving search engine data. It also contributes to the knowledge base about the increasing use of online consumer data in economic research in property markets.

Competency expectations for property professionals in Australia

Purpose – The aim of this paper is to identify the competency expectations for property
professionals in Australia. It further discusses differences in competency expectations between property professionals who have different professional backgrounds, such as valuers or non-valuers, and property professionals who work in different sectors or different-sized companies and who have differing amounts of experience. The competencies identified in this paper include knowledge areas, skills and attributes.

Design/methodology/approach – This paper presents the research findings of a questionnaire survey sent to Australian Property Institute members, which aimed to gather Australian property professionals’ views on the knowledge, skills and attributes required to perform their roles effectively.  The percentage of the respondents who provided different choices of given answers for each of the 31 knowledge areas, 20 skills and 21 attributes was identified and discussed. The professional backgrounds of the respondents were also identified to see whether these impact on competency expectations for property professionals. Content analysis was used to analyse written comments collected in the questionnaire.

Findings – The most important categories of knowledge, skill and attribute for Australian property professionals are valuation, effective written communication and practical experience, respectively.  The least important are international real estate, second language and creativity. Knowledge of rural valuation is very important in Australia, although this has not been mentioned in previous studies.  Professional backgrounds have a large influence on Australian property professionals’ views on knowledge requirements, but less so on skills and attributes.

Practical implications – The findings of this paper can be used as guidance for property professionals in their professional development plan. In addition, property course providers can use the research findings of this paper to inform their curriculum development and redesign.

Originality/value – This project is the first to identify the comprehensive competency expectations of property professionals as a whole in Australia. At the same time, it identifies differences in the competency expectations of property professionals who have different professional backgrounds.  Similar types of study have been conducted in the UK, the USA, Hong Kong and New Zealand but not yet in Australia. An understanding of the knowledge, skills and attributes required for property professionals is important for continuing professional development, curriculum development and the redesign of relevant property courses in order to maintain performance and competitiveness in the property sector.

The market for corporate control: the case of Australian listed property

 This study investigates the underlying motivation(s) for mergers and acquisitions in the Australian Real Estate Investment Trust sector. Results across the three periods of pre-, during and post-announcement show that mergers and acquisitions create synergistic benefits for both targets and bidders.

Property portfolio composition and earnings management for listed property portfolios

In this paper, we investigate how real estate portfolio composition impacts earnings management (EM) of New Zealand listed property portfolios (NZ-LPPs). We employ a panel dataset containing accounting and property data for NZ-LPPs. The findings include: (1) the office property ratio of the real estate portfolio provides the highest incentive for LPPs to engage in EM; (2) LPPs with a higher ratio of industry are less likely to use accrual EM and real EM approaches based on property transactions; and (3) LPPs with a hospital focus prefer accrual EM, while LPPs with a retail focus prefer long-term accrual EM and sales manipulation.

Real-Time Flood Forecasting Systems In Flanders

As a highly urbanized and flood prone region, Flanders has experienced multiple floods causing significant damage in the past. In response to the floods of 1998 and 2002 the Flemish Environment Agency, responsible for managing 1 400 km of unnavigable rivers, started setting up a real time flood forecasting system in 2003. Currently the system covers almost 2 000 km of unnavigable rivers, for which flood forecasts are accessible online (www.waterinfo.be). The forecasting system comprises more than 1 000 hydrologic and 50 hydrodynamic models which are supplied with radar rainfall, rainfall forecasts and on-site observations. Forecasts for the next 2 days are generated hourly, while 10 day forecasts are generated twice a day. Additionally, twice daily simulations based on percentile rainfall forecasts (from EPS predictions) result in uncertainty bands for the latter. Subsequent flood forecasts use the most recent rainfall predictions and observed parameters at any time while uncertainty on the longer-term is taken into account. The flood forecasting system produces high resolution dynamic flood maps and graphs at about 200 river gauges and more than 3 000 forecast points. A customized emergency response system generates phone calls and text messages to a team of hydrologists initiating a pro-active response to prevent upcoming flood damage. The flood forecasting system of the Flemish Environment Agency is constantly evolving and has proven to be an indispensable tool in flood crisis management. This was clearly the case during the November 2010 floods, when the agency issued a press release 2 days in advance allowing water managers, emergency services and civilians to take measures.

A Servidão Administrativa e o Estado Regulador: Compatibilidade com o Princípio Constitucional da Legalidade e a Limitação ao Direito Real de Propriedade

The economic changes occurred in the 90s, with the restructuring and privatization of various sectors of the economy have led to a redefinition of the State role, assuming a position of regulator and supervisor of public services in place to direct its role as straight intervenor. It is through the regulatory agencies, autarchies with special legal personality under public law, that the Regulator State will act. In this context, the first objective of this research is to analyze the legality of easements imposed by entities of the Direct Administration and Regulatory Agencies, whose execution is delegated to legal persons of private law, being those public service companies or mixed-economy societies. This examination in question the limits of servitude as a restrictive institute of property rights, observing the principles of function, supremacy of the public interests over the private ones, legality and the separation of powers. Defend the property rights like a fundamental right and your insurance as determining factor of economic development and social justice. Use the procedure in use will be the historiccomparative procedure, in order to demonstrate the legality of the public act as a maximum attempt to preserve the balance between the expansion of public services in various sectors of the economy, and the preservation of property rights, through regulation

Fitting hyperbolic universes to Cayon-Smoot spots in COBE maps

On the possibility that the universe's matter density is low (Ohm(0) < 1), cosmologies can be considered with the metric of Friedmann's open universe but with closed hyperbolic manifolds as the physical three-space. These models have nontrivial spatial topology, with the property of producing multiple images of cosmic sources. Here a fit is attempted of 10 of these models to the physical cold and hot spots found by Cayon & Smoot in the COBE/DMR maps. These spots are interpreted as early, distant images of much nearer sources of inhomogeneity. The source for one of the cold spots is seen as the seed of a known supercluster.

Modeling and identification of fertility maps using artificial neural networks

The application of agricultural fertilizers using variable rates along the field can be made through fertility maps previously elaborated or through real-time sensors. In most of the cases applies maps previously elaborated. These maps are identified from analyzes done in soil samples collected regularly (a sample for each field cell) or irregularly along the field. At the moment, mathematical interpolation methods such as nearest neighbor, local average, weighted inverse distance, contouring and kriging are used for predicting the variables involved with elaboration of fertility maps. However, some of these methods present deficiencies that can generate different fertility maps for a same data set. Moreover, such methods can generate inprecise maps to be used in precision farming. In this paper, artificial neural networks have been applied for elaboration and identification of precise fertility maps which can reduce the production costs and environmental impacts.