Página 1 dos resultados de 623 itens digitais encontrados em 0.030 segundos

Previsão hidrometeorológica visando sistema de alerta antecipado de cheias em bacias urbanas ; Hidrometeorological precipitation forecast for flood early warning systems in urban areas

Andrade, Juliana Pontes Machado de
Fonte: Biblioteca Digitais de Teses e Dissertações da USP Publicador: Biblioteca Digitais de Teses e Dissertações da USP
Tipo: Dissertação de Mestrado Formato: application/pdf
Publicado em 13/09/2006 PT
Relevância na Pesquisa
86.04%
Freqüentemente, a população das áreas metropolitanas é surpreendida pela ocorrência de inundações muito rápidas que causam danos diversos. O sistema de alerta antecipado contra inundações é uma ferramenta que visa minimizar tais impactos. O componente de previsão do sistema será abordado neste trabalho. Tal previsão é feita através de um modelo conceitual de previsão hidrometeorológica de precipitação baseado em equações termodinâmicas e modelo simplificado de física das nuvens seguido de um modelo chuva-vazão. A antecedência proporcionada pelo modelo hidrometeorológico aplicado é de 30 minutos para variáveis de entrada observadas. Este tempo pode ser estendido com a inclusão de estimativas futuras das variáveis de entrada. A calibração do modelo foi feita manualmente com o uso de duas medidas de desempenho, esta etapa pode ser aprimorada em pesquisas futuras. Apesar da simplicidade do modelo hidrometeorológico apresentou-se satisfatório em algumas simulações, conseguindo prever o início das precipitações.; Urban population are often surprised by flash floods which cause several kinds of damages. An early warning system is a tool which aims to minimize such impacts. This work will approach the forecast component of this system. A conceptual hydrometeorological precipitation forecasting model...

Previsão de chuva com auxílio de radar de tempo visando a um sistema de alerta antecipado de cheias em áreas urbanas; Precipitation forecast aided by weather radar for early warning system of urban floods

Gonçalves, Micheli Fernandes
Fonte: Biblioteca Digitais de Teses e Dissertações da USP Publicador: Biblioteca Digitais de Teses e Dissertações da USP
Tipo: Dissertação de Mestrado Formato: application/pdf
Publicado em 19/06/2009 PT
Relevância na Pesquisa
66.04%
Para reduzir as perdas humanas e materiais durante as inundações, é possível realizar estudo conciso da previsão de chuva, etapa principal de um sistema de alerta antecipado de inundação. O uso de informações de radar de tempo, quando acopladas a modelos de previsão de precipitação baseados fisicamente, pode contribuir para o monitoramento e previsão de episódios de chuva intensa. Desta forma, a previsão de chuva, baseada no uso de informações de radar, juntamente com um modelo conceitual de previsão hidrometeorológica, foi descrita neste trabalho. Teve-se por objetivo aperfeiçoar as previsões de chuva de curtíssimo prazo (poucos minutos), que acopladas a um modelo chuva-vazão, podem ser usadas em sistemas de alerta antecipado. O modelo hidrometeorológico adotado, que considera uma nuvem hipotética unidimensional vertical, foi inicialmente desenvolvido por Georgakakos e Bras (1984a) e ampliado, neste trabalho. Para tal, adotou-se o uso das informações de Topo dos Ecos para determinação da altura das nuvens e considerou-se que a componente do modelo relativa à massa de água líquida no interior da nuvem corresponde à estimativa do conteúdo de água líquida integrado verticalmente (VIL) efetuada por radar. Para eventos de natureza frontal quente e convectiva...

O princípio da subsidiariedade e o sistema de alerta precoce na União européia

Rex, Roger Valério de Vargas
Fonte: Universidade Federal do Rio Grande do Sul Publicador: Universidade Federal do Rio Grande do Sul
Tipo: Trabalho de Conclusão de Curso Formato: application/pdf
POR
Relevância na Pesquisa
66.05%
O presente trabalho versa sobre o Sistema de Alerta Precoce, o qual foi consagrado pelo Tratado de Lisboa com a finalidade de instituir um controle sobre a aplicação do princípio da subsidiariedade na União Europeia, assegurando que as decisões sejam tomadas tão próximas quanto possível dos cidadãos. Em um primeiro momento, analisamos as diversas etapas, ao longo da história do processo de integração europeu, que resultaram na consagração da subsidiariedade como um princípio geral do Direito Europeu. Em seguida, concentramos o nosso esforço na tarefa de definir com clareza o significado desse princípio após a consagração do Tratado de Lisboa, enfatizando os aspectos pertinentes do artigo 5º do Tratado da União Europeia. Na segunda parte do trabalho, estudamos especificamente o Sistema de Alerta Precoce, destacando os seus objetivos, as suas principais características e buscando encontrar soluções para os problemas que emergem a partir do exame do Protocolo relativo à aplicação dos princípios da subsidiariedade e da proporcionalidade.; This study is about the Early Warning System, which was enacted through the Treaty of Lisbon with the purpose of creating a system for monitoring the application of the principle of subsidiarity in the European Union...

A Greenhouse Tomato Crop Grey Mould Disease Early Warning System

Neto, M.; Baptista, F.J.; Navas, L.M.; Ruiz, G.
Fonte: Universidade de Évora Publicador: Universidade de Évora
Tipo: Artigo de Revista Científica
ENG
Relevância na Pesquisa
96.14%
Tomato is a very important crop in the Mediterranean region in general and in Portugal in particular being the production for fresh consumption made essentially in greenhouses. Botrytis cinerea Pers.: Fr. is the causal agent of grey mould disease and is one of the most important diseases affecting greenhouse tomato crops, high relative humidity and the presence of free water on the plant surfaces have been recognized as favourable to the development of this disease. The availability of a early warning system providing to the tomato grower alerts with information of the potential favoured conditions for the disease appearance in its early stages or even before can have a very positive impact in reducing the economic and environmental impacts due to a more rational and efficient disease control management. Today we have the necessary technology to build and launch an Internet based early warning system for grey mould disease in greenhouse tomato crop supported by a wireless sensor network. In this paper a prototype for such a system is presented. From the research conducted until the moment the proposed solution is viable and the next step will be to validate it in the field in different locations and with distinct greenhouses conditions.

A Business Intelligence Approach to Support a Greenhouse Tomato Crop Grey Mould Disease Early Warning System

Neto, Miguel; Baptista, Fátima; Navas, L.M.; Ruiz, G.
Fonte: Czech Centre for Science and Society Publicador: Czech Centre for Science and Society
Tipo: Parte de Livro
ENG
Relevância na Pesquisa
86.17%
This paper presents a Business Intelligence architecture proposal, including data sources, data warehouse, business analytics, and information delivery, to launch an early warning system for greenhouse tomato crop grey mould disease. Tomato is a very important crop in the Mediterranean region in general and in Portugal in particular being the production for fresh consumption made essentially in greenhouses. Botrytis cinerea Pers.: Fr. is the causal agent of grey mould disease and is one of the most important diseases affecting greenhouse tomato crops, high relative humidity and the presence of free water on the plant surfaces have been recognized as favourable to the development of this disease. The availability of a early warning system providing to the tomato grower alerts with information of the potential favoured conditions for the disease appearance in its early stages or even before can have a very positive impact in reducing the economic and environmental impacts due to a more rational and efficient disease control management. Today we have the necessary technology to build and launch an Internet based early warning system for grey mould disease in greenhouse tomato crop supported by a wireless sensor network adopting a Business Intelligence approach. From the research conducted until the moment the proposed solution is viable and the next step will be to validate it in the field in different locations and with distinct greenhouses conditions.

The ALERT-ES Project: an Earthquake Early Warning System for S. Iberia

Buforn, E.; Carranza, M.; Udías, A.; Goula, X.; Colom, Y.; Roca, A.; Zollo, A.; Lozano, L.; Pro, C.; Carrilho, F.; Hanka, W.; Madariaga, R.; Bezzeghoud, M.; Harnafi, M.
Fonte: Portuguese Society for Earthquake Engineering Publicador: Portuguese Society for Earthquake Engineering
Tipo: Artigo de Revista Científica
POR
Relevância na Pesquisa
96.05%
The main goal of the ALERT-ES project (“Sistema de Alerta Sísmica Temprana: Aplicación al Sur de España”) is to study the feasibility of an Earthquake Early Warning System (EEWS) for SW Iberian Peninsula applied to the potentially damaging earthquakes that occur in the region of Cape S. Vicente-Gulf of Cadiz. This area is characterized by the occurrence of large earthquakes with damage in SW Iberia, such as those of 1755 Lisbon (Imax=X) and 1969 S. Vicente Cape (Ms=8,1). The project has two different parts: the development of algorithms for the rapid estimation of the magnitude from the very beginning of P-waves for S. Vicente Cape- Gulf of Cadiz earthquakes and the development of the corresponding new software modules, dealing with detection, event declaration and location, and their implementation in EarthWorm and SeisComP platforms integrated in a real time system. A pilot experience will be carried out in the last months of the project.

Predictors of local malaria outbreaks: an approach to the development of an early warning system in Colombia

Mateus,Julio César; Carrasquilla,Gabriel
Fonte: Instituto Oswaldo Cruz, Ministério da Saúde Publicador: Instituto Oswaldo Cruz, Ministério da Saúde
Tipo: Artigo de Revista Científica Formato: text/html
Publicado em 01/08/2011 EN
Relevância na Pesquisa
66.04%
Risk factor surveillance is a complementary tool of morbidity and mortality surveillance that improves the likelihood that public health interventions are implemented in a timely fashion. The aim of this study was to identify population predictors of malaria outbreaks in endemic municipalities of Colombia with the goal of developing an early warning system for malaria outbreaks. We conducted a multiple-group, exploratory, ecological study at the municipal level. Each of the 290 municipalities with endemic malaria that we studied was classified according to the presence or absence of outbreaks. The measurement of variables was based on historic registries and logistic regression was performed to analyse the data. Altitude above sea level [odds ratio (OR) 3.65, 95% confidence interval (CI) 1.34-9.98], variability in rainfall (OR 1.85, 95% CI 1.40-2.44) and the proportion of inhabitants over 45 years of age (OR 0.17, 95% CI 0.08-0.38) were factors associated with malaria outbreaks in Colombian municipalities. The results suggest that environmental and demographic factors could have a significant ability to predict malaria outbreaks on the municipal level in Colombia. To advance the development of an early warning system, it will be necessary to adjust and standardise the collection of required data and to evaluate the accuracy of the forecast models.

Dead Bird Clusters as an Early Warning System for West Nile Virus Activity

Mostashari, Farzad; Kulldorff, Martin; Hartman, Jessica J.; Miller, James R.; Kulasekera, Varuni
Fonte: Centers for Disease Control and Prevention Publicador: Centers for Disease Control and Prevention
Tipo: Artigo de Revista Científica
Publicado em /06/2003 EN
Relevância na Pesquisa
66.08%
An early warning system for West Nile virus (WNV) outbreaks could provide a basis for targeted public education and surveillance activities as well as more timely larval and adult mosquito control. We adapted the spatial scan statistic for prospective detection of infectious disease outbreaks, applied the results to data on dead birds reported from New York City in 2000, and reviewed its utility in providing an early warning of WNV activity in 2001. Prospective geographic cluster analysis of dead bird reports may provide early warning of increasing viral activity in birds and mosquitoes, allowing jurisdictions to triage limited mosquito-collection and laboratory resources and more effectively prevent human disease caused by the virus. This adaptation of the scan statistic could also be useful in other infectious disease surveillance systems, including that for bioterrorism.

Early Warning System for Disasters within Health Organizations: A Mandatory System for Developing Countries

Zaboli, Rouhollah; Seyedin, SeyedHesam; Malmoon, Zainab
Fonte: Tabriz University of Medical Sciences Publicador: Tabriz University of Medical Sciences
Tipo: Artigo de Revista Científica
Publicado em 31/12/2013 EN
Relevância na Pesquisa
66.05%
Background: Disaster identification and alert systems can be processed in dif­ferent ways. An early warning system is designed to detect impending danger and send appropriate and clear signals to at risk communities and organizations at the right time and in an unambiguous way. This study aimed to determine early warning system for disaster within health organization in Iran.

A Cost Effective Solution to Reduce Disaster Losses in Developing Countries : Hydro-Meteorological Services, Early Warning, and Evacuation

Hallegatte, Stéphane
Fonte: World Bank, Washington, DC Publicador: World Bank, Washington, DC
Relevância na Pesquisa
76.19%
In Europe, it can be estimated that hydro-meteorological information and early warning systems save several hundreds of lives per year, avoid between 460 million and 2.7 billion Euros of disaster asset losses per year, and produce between 3.4 and 34 billion of additional benefits per year through the optimization of economic production in weather-sensitive sectors (agriculture, energy, etc.). The potential for similar benefits in the developing world is not only proportional to population, but also to increased hazard risk due to climate and geography, as well as increased exposure to weather due to the state of infrastructure. This analysis estimates that the potential benefits from upgrading to developed-country standards the hydro-meteorological information production and early warning capacity in all developing countries include: (i) between 300 million and 2 billion USD per year of avoided asset losses due to natural disasters; (ii) an average of 23,000 saved lives per year, which is valued between 700 million and 3.5 billion USD per year using the Copenhagen Consensus guidelines; and (iii) between 3 and 30 billion USD per year of additional economic benefits. The total benefits would reach between 4 and 36 billion USD per year. Because some of the most expensive components of early warning systems have already been built (e.g....

Tsunami and Earthquake Warning Systems

Ishiwatari, Mikio
Fonte: World Bank, Washington, DC Publicador: World Bank, Washington, DC
EN_US
Relevância na Pesquisa
66.14%
Warning systems can mitigate the damage caused by tsunamis and other natural events, and prevent the loss of human life and properties. Countermeasures, such as evacuations to higher ground and the stopping of trains, depend on getting the right information and disseminating it in a timely manner. Warning systems must also be aligned with community response. While Japan has developed the most sophisticated tsunami-warning system in the world, the system underestimated tsunami height on March 11 and may have misled the evacuees and increased human losses. This report gives findings; lessons; and recommendations for developing countries.

Predicting Bank Insolvency in the Middle East and North Africa

Calice, Pietro
Fonte: World Bank Group, Washington, DC Publicador: World Bank Group, Washington, DC
EN_US
Relevância na Pesquisa
66.07%
This paper uses a panel of annual observations for 198 banks in 19 Middle East and North Africa countries over 2001-12 to develop an early warning system for forecasting bank insolvency based on a multivariate logistic regression framework. The results show that the traditional CAMEL indicators are significant predictors of bank insolvency in the region. The predictive power of the model, both in-sample and out-of-sample, is reasonably good, as measured by the receiver operating characteristic curve. The findings of the paper suggest that banking supervision in the Middle East and North Africa could be strengthened by introducing a fundamentals-based, off-site monitoring system to assess the soundness of financial institutions.

MedISys: An early-warning system for the detection of (re-)emerging food- and feed-borne hazards

RORTAIS Agnès; BELYAEVA Jenya; GEMO Monica; VAN DER GOOT Erik; LINGE Jens
Fonte: ELSEVIER SCIENCE BV Publicador: ELSEVIER SCIENCE BV
Tipo: Articles in Journals Formato: Printed
ENG
Relevância na Pesquisa
66.06%
We evaluated the Medical Information System (MedISys) as an early-warning system for the detection of food- and feed-borne hazards. Nine hazards were selected in the period from January 2007 to March 2009 from the Rapid Alert System for Food and Feed (RASFF) and traced back on MedISys and ProMED-mail. In addition, from January to March 2009, food- and feed-borne (re-)emerging hazards were monitored on MedISys and traced back on ProMED-mail and RASFF. MedISys has demonstrated to be an effective early-warning system for food- and feed-borne hazards. However, further customization is required to improve its sensitivity, in particular by increasing the number of multi-lingual categories related to food and feed items. MedISys tended to detect food- and feed-borne hazards earlier and more frequently than ProMED-mail, but the information from both systems was often complementary.; JRC.G.2-Global security and crisis management

The Global Drought Monitor Portal - The Foundation for a Global Drought Early Warning System

BREWER Michael J,; HEIM Richard R.; POZZI Will; VOGT Juergen; SHEFFIELD Justin
Fonte: American Meteorological Society Publicador: American Meteorological Society
Tipo: Contributions to Conferences Formato: Online
ENG
Relevância na Pesquisa
66.2%
International workshops and conferences have, for many years, noted the importance of drought monitoring and have called for the creation of drought early warning systems (the 2007 GEO Ministerial Summit in Cape Town, South Africa, the 2009 WMO-sponsored Inter- Regional Workshop on Indices and Early Warning Systems for Drought in Lincoln, Nebraska, USA, and the 2010 Global Drought Assessment Workshop [GDAW] in Asheville, North Carolina, USA, are recent examples). Drought monitoring, assessment, response, mitigation, adaptation, and early warning systems have been created in a number of countries around the world, and some regional and continental efforts have been successful, but a global drought early warning system (GDEWS) remains elusive. The National Integrated Drought Information System (NIDIS) U.S. Drought Portal is a web-based information system created to address drought services and early warning in the United States, including drought monitoring, forecasting, impacts, mitigation, research, and education. It was recognized at the April 2010 GDAW that the creation of a Global Drought Monitoring web portal (GDMP) as a clearinghouse for global drought information would be highly beneficial, but neither the World Meteorological Organization (WMO) nor Group on Earth Observations (GEO) has the resources to provide such a program (GEO does not directly fund initiatives but relies upon donated efforts from GEO members). The managers of the NIDIS portal agreed to develop a prototype GDMP. The GDMP is made interoperable with the Global Earth Observation System of Systems (GEOSS) by utilizing Open Geospatial Consortium (OGC) Web Mapping Services (WMS) and other web services to exchange drought maps (and other information) among existing continental and regional drought monitoring efforts...

Response of potato's native varieties and commercial cultivars (Solatium tuberosum L.) to natural infections of late blight using an early warning system

Fonte: Universidade Católica de Temuco Publicador: Universidade Católica de Temuco
Tipo: Artículo de Revista
EN
Relevância na Pesquisa
66.21%
Phytophthora infestans Mont. de Bary, causes one of the most important diseases in potato fSolanum tuberosum L.). Since the last decade, repeated years of 'blight' affecting many varieties and cultivars have been observed in Chile. This has led to the validation of different early warning systems, the Blitecast model being one of the most efficient. The aim of this study was to assess the response of native varieties and com mercial cultivars of potato to natural infections of late blight, managed on the basis of early warning system. During the 2006/2007 season, a study was conducted with a split plot de sign with four replications and factorial arrangement of treat ments, with seven genotypes and two early warning systems as study factors. Native varieties used were Michuñe azul and Clavela and cultivars Desirée, Yagana, Karu, Pukará and Car dinal. The early warning systems assessed were the Blitecast model and a witness without chemicals, as a decision tool to apply chemical control. No interaction effects were observed in the study (p>0.05). The leaf damage and area under the curve of disease progress (AUDPC) were significantly lower (p<0.05) in cv. Cardinal than cv. Desirée, in coincidence with the offi cial description of both cultivars. The AUDPC ranked Michuñe azul (119.39) and Clavela (120.54) as moderately resistant vari eties. The main effects of an early warning system reduced sig nificantly (p<0.0001) the AUDPC and leaf damage of the crop. The latter was reduced by 64.5% when compared with the system without early warning.

The East Asian currency crises: lessons for an early warning system

Jotzo, Frank
Fonte: Universidade Nacional da Austrália Publicador: Universidade Nacional da Austrália
Tipo: Working/Technical Paper Formato: 303887 bytes; 172543 bytes; application/pdf; application/pdf
EN_AU
Relevância na Pesquisa
66.12%
Is it possible to devise a functioning early warning system for currency crises, and is there a role for the analysis of indicators beyond economic fundamentals? In light of the East Asian crisis, the issue is examined both theoretically and empirically. An analytical framework to detect macroeconomic and structural vulnerability as well as changes in the perception of fundamentals is developed, and a range of leading indicators explored. An exemplary early warning system which includes investors' sentiments is applied retrospectively in case studies of the crises in Indonesia and Thailand in 1997, Mexico 1994 and three other Latin American episodes.

The paper argues that the monitoring of market sentiments has a place along with the analysis of economic fundamentals, structural and political factors. Particularly in the recent East Asian experience, a sudden and dramatic change in the perception of economic fundamentals and expectations regarding future developments was the driving force behind the crisis. A range of promising indicators are identified, some using readily available quantitative data. The challenge lies in the exploration of relevant information outside the traditional realm of economics and the construction of quantifiable indices. The importance of sudden changes in expectations...

It Takes an Institution's Village to Retain a Student: A Comprehensive Look at Two Early Warning System Undergraduate Retention Programs and Administrators' Perceptions of Students' Experiences and the Retention Services they Provide Students in the Early Warning System Retention Programs

Hamilton, Shelly-Ann
Fonte: FIU Digital Commons Publicador: FIU Digital Commons
Tipo: Artigo de Revista Científica Formato: application/pdf
Relevância na Pesquisa
76.08%
Institutions have implemented many campus interventions to address student persistence/retention, one of which is Early Warning Systems (EWS). However, few research studies show evidence of interventions that incorporate noncognitive factors/skills, and psychotherapy/psycho-educational processes in the EWS. A qualitative study (phenomenological interview and document analysis) of EWS at both a public and private 4-year Florida university was conducted to explore EWS through the eyes of the administrators of the ways administrators make sense of students’ experiences and the services they provide and do not provide to assist students. Administrators’ understanding of noncognitive factors and the executive skills subset and their contribution to retention and the executive skills development of at-risk students were also explored. Hossler and Bean’s multiple retention lenses theory/paradigms and Perez’s retention strategies were used to guide the study. Six administrators from each institution who oversee and/or assist with EWS for first time in college undergraduate students considered academically at-risk for attrition were interviewed. Among numerous findings, at Institution X: EWS was infrequently identified as a service...

The SuperNova Early Warning System

Scholberg, K.
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Publicado em 04/03/2008
Relevância na Pesquisa
66.01%
A core collapse in the Milky Way will produce an enormous burst of neutrinos in detectors world-wide. Such a burst has the potential to provide an early warning of a supernova's appearance. I will describe the nature of the signal, the sensitivity of current detectors, and SNEWS, the SuperNova Early Warning System, a network designed to alert astronomers as soon as possible after the detected neutrino signal.; Comment: 3 pages, appearing in refereed proceedings of "Hotwiring the Transient Universe 2007", eds. A. Allan, J. S. Bloom, R. Seaman, Astron. Nachr. vol. 329, March 2008

An Early Warning System for Asteroid Impact

Tonry, John L.
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Publicado em 03/11/2010
Relevância na Pesquisa
66.02%
Earth is bombarded by meteors, occasionally by one large enough to cause a significant explosion and possible loss of life. Although the odds of a deadly asteroid strike in the next century are low, the most likely impact is by a relatively small asteroid, and we suggest that the best mitigation strategy in the near term is simply to move people out of the way. We describe an "early warning" system that could provide a week's notice of most sizable asteroids or comets on track to hit the Earth. This system, dubbed "Asteroid Terrestrial-impact Last Alert System" (ATLAS), comprises two observatories separated by about 100km that simultaneously scan the visible sky twice a night, and can be implemented immediately for relatively low cost. The sensitivity of ATLAS permits detection of 140m asteroids (100 Mton impact energy) three weeks before impact, and 50m asteroids a week before arrival. An ATLAS alarm, augmented by other observations, should result in a determination of impact location and time that is accurate to a few kilometers and a few seconds. In addition to detecting and warning of approaching asteroids, ATLAS will continuously monitor the changing universe around us: most of the variable stars in our galaxy, many micro-lensing events from stellar alignments...

GenSo-EWS: a novel neural-fuzzy based early warning system for predicting bank failures

Tung, W; Quek, C; Cheng, Philip
Fonte: Pergamon Press Publicador: Pergamon Press
Tipo: Artigo de Revista Científica
Relevância na Pesquisa
86.02%
Bank failure prediction is an important issue for the regulators of the banking industries. The collapse and failure of a bank could trigger an adverse financial repercussion and generate negative impacts such as a massive bail out cost for the failing bank and loss of confidence from the investors and depositors. Very often, bank failures are due to financial distress. Hence, it is desirable to have an early warning system (EWS) that identifies potential bank failure or high-risk banks through the traits of financial distress. Various traditional statistical models have been employed to study bank failures [J Finance 1 (1975) 21; J Banking Finance 1 (1977) 249; J Banking Finance 10 (1986) 511; J Banking Finance 19 (1995) 1073]. However, these models do not have the capability to identify the characteristics of financial distress and thus function as black boxes. This paper proposes the use of a new neural fuzzy system [Foundations of neuro-fuzzy systems, 1997], namely the Generic Self-organising Fuzzy Neural Network (GenSoFNN) [IEEE Trans Neural Networks 13 (2002c) 1075] based on the compositional rule of inference (CRI) [Commun ACM 37 (1975) 77], as an alternative to predict banking failure. The CRI based GenSoFNN neural fuzzy network...