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FUZZY ECONOMIC REVIEW

ISSN (print) 1136-0593 · ISSN (online) 2445-4192

FUZZY ECONOMIC REVIEW, Volume 24

A NEW FRAMEWORK FOR ANALYZING CLIMATE CHANGE IMPACTS BY VULNERABILITY INDEX AND QUANTITATIVE MODELING: A CASE STUDY OF COASTAL PROVINCES IN VIETNAM

Pham Minh Tam. Faculty of Geography, Vietnam National University. Email: phamminhtam1989@gmail.com

Dinh Thi Hang. Hanoi University of Natural resources and Environment. Email: dinhhang.2796@gmail.com

Doan Thi Truc Linh. Can Tho University, Vietnam; University of South Australia, Australia. Email: dttlinh@ctu.edu.vn

Truong Thi Thuy Duong. Banking Academy. Email: thuyduongktv@yahoo.com.vn

Luu Quoc Dat. Faculty of Development Economics, University of Economics and Business, Vietnam National University. Email: datluuquoc@gmail.com

During the last decades, global climate change has led to serious impacts on nature, environment and socio-economic development in several places, especially in coastal zones. Vietnam is one of the countries, which was significantly affected by climate change. Hence, establishing an integrated framework to analysis climate change impacts for 28…
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MULTIDIMENSIONAL VULNERABILITY TO POVERTY INDEX IN SELF EMPLOYED WORKERS IN LA MATANZA CITY, ARGENTINA

Esteban Otto Thomasz. Universidad de Buenos Aires, Facultad de Ciencias Económicas, Programa Vulnerabilidad al Riesgo Climático (ProVul). Email: ethomasz@econ.uba.ar

Mariano Eriz. Universidad de Extremadura, Escuela internacional de Posgrado, Programa de Doctorado en Desarrollo Territorial Sostenible. Email: merizna@alumnos.unex.es

In this paper we propose an operationalization of a multidimensional vulnerability to poverty index, with the objective of overcame the dichotomy of poverty measurements such as the poverty line and unsatisfied basic needs, which fails to represent socioeconomic restrictions of focalized groups. With the information obtained through a survey made…
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FORGOTTEN EFFECTS IN THE VALUATION OF THE SOCIAL WELL-BEING INDEX IN MEXICO’S SUSTAINABLE DEVELOPMENT

G. G. Alfaro-Calderón. Facultad de Contaduría y Ciencias Administrativas, Universidad Michoacana de San Nicolás de Hidalgo, Mexico. Email: ggalfaroc@gmail.com.

N. L. Godínez-Reyes. Facultad de Economía “Vasco de Quiroga”, Universidad Michoacana de San Nicolás de Hidalgo, Mexico. Email: lgodinez5@gmail.com.

R. Gómez-Monge. Facultad de Economía “Vasco de Quiroga”, Universidad Michoacana de San Nicolás de Hidalgo, Mexico. Email: rogomo@gmail.com.

V. Alfaro-García. Facultad de Economía, Universidad Autónoma de San Luis Potosí, México. Email: valfaro06@gmail.com

A. M. Gil-Lafuente. Business School, Universitat de Barcelona, Spain. Email: amgil@ub.edu

The economic, social and environmental crises of recent years have caused a global concern for the need to find mechanisms that enable efficient development processes and that lead countries towards sustainability. In particular, emerging countries have specific characteristics that force them to face the issue of sustainable development under a…
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FORECASTING PERFORMANCE OF EXCHANGE RATE MODELS WITH HEAVY MOVING AVERAGE OPERATORS

L. Espinoza-Audelo. Universidad Autónoma de Occidente, Mexico. Email: luisf.espinozaa@hotmail.com

E. Aviles-Ochoa. Universidad Autónoma de Occidente, Mexico. Email: ezequiel.aviles@udo.mx

E. Leon-Castro. Universidad de la Salle Bajio, Mexico. Email: eleon@delasalle.edu.mx

F. Blanco-Mesa. Universidad Pedagógica y Tecnológica de Colombia, Facultad de Ciencias Económicas y Administrativas, Colombia. Email: fabio.blanco01@uptc.edu.co

The objective of the paper is to demonstrate the effectiveness of a model which fuses econometric models and Heavy Ordered Weighted Moving Average (HOWMA) operators. The evaluation of the methodology is validated with a forecast exercise of the monthly USD / MXN parity for 2015-2017. Within the results, it is…
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EVOLVING AND COMPARING PREDICTIVE PERFORMANCES OF FUZZY WAVELET NEURAL NETWORKS WITH DIFFERENT ARCHITECTURES

Genoveva-Mihaela Ioana. University of Craiova, Department of Statistics and Informatics, Romania. Email: genoveva.ioana@gmail.com

Vasile Georgescu. University of Craiova, Department of Statistics and Informatics, Romania. Email: v_geo@yahoo.com

In this paper we use a real-coding Genetic Algorithm to evolve three different architectures of Fuzzy Wavelet Neural Networks (FWNNs) and to compare their performances when predicting financial time series (stock exchange indexes) by means of NARX( ) models. FWNNs are designed by hybridization of Neural Networks, Fuzzy Inference Systems…
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