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FUZZY ECONOMIC REVIEW, Volume XIX

Study of discrete choice models and fuzzy rule based systems in the prediction of economic crisis periods in USA

Eleftherios Giovanis: Bologna University

This paper studies the economic recessions and the financial crisis in US economy, as these crisis periods affect not only USA but the rest of the world. The wrong government policies and the regulations in bond market among others lead to the longest and deepest financial crisis since the Great…
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A theoretical model for the underground economy

Domenico Marino: Mediterranea University of Reggio Calabria

A new way of looking at the problem of the underground economy is to consider the productive structure of a regular firm and that of an underground firm, completing the description of the microeconomic behaviour of the agents with the formalization of the behaviour of the state in the presence…
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Strategic analysis of forest investments using real option: the fuzzy pay-off model (FPOM)

Gastón S. Milanesi: Departamento de Ciencias de la Administración, Universidad Nacional del Sur

Diego Broz: Departamento de Ciencias de la Administración, Universidad Nacional del Sur

Fernando Tohmé: Departamento de Economía, Universidad Nacional del Sur

Daniel Rossit: Departamento de Ingeniería, Universidad Nacional del Sur

This paper introduces a fuzzy forestry investment decision-making tool based. It will be applied to choose optimal levels of investment when three possible scenarios are conceived, a base case and two extreme alternatives: optimistic and pessimistic. Decision-makers can be seen as being either owners of a forest or investors. For…
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Finding business failure reasons through a fuzzy model of diagnosis

Valeria Scherger: Economics Department, Universidad Nacional del Sur

Hernán P. Vigier: Economics Department, Universidad Nacional del Sur

M. Glòria Barberà-Mariné: Department of Business Management, Faculty of Business and Economics, Universitat Rovira i Virgili

The aim of this paper is to find the causes of the failure and diagnose a group of small and medium-sized enterprises (SMEs) through a fuzzy logic model. The application to a specific sector involves the adaptation of the methodological hypothesis presented in the theoretical model and the definition of…
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SELECTION OF COCOA POST-HARVEST TECHNOLOGY USING FUZZY LOGIC

Lenin Vera-Montenegroa. Carrera de Ingeniería Agrícola, Escuela Superior Politécnica Agropecuaria de Manabí

Amparo Baviera-Puig. Department of Economics and Social Sciences, Universitat Politècnica de València

Jose-Maria Garcia-Alvarez-Coque. Department of Economics and Social Sciences. Universitat Politècnica de València

Ecuador supplies 70% of the world’s fine aroma cocoa (Theobroma cacao), which is later used in the manufacture of high quality chocolates. The postharvest is an essential process for producers seeking a share of this market. The aim of this paper is to define a model for selecting a postharvest…
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THE SOFT REGRESSION METHOD- SUGGESTED IMPROVEMENTS

Eli Shnaider. Netanya Academic College 1 University St., Netanya, Israel

Nava Haruvy. Netanya Academic College 1 University St., Netanya, Israel

Arthur Yosef. Tel Aviv-Yaffo Academic College, 2 Rabenu Yeruham st., Tel Aviv-Yaffo, Israel

Soft regression is a regression technique based on fuzzy information processing and heuristic information processing methods. However, following the practical use of the method, it was found that two aspects of the calculations pertaining to therelative weights of explanatory variables could be improved to make the method more logical, and…
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