Fuzzy Economic Review


Vol. 21, No. 2, November

Simulation Decomposition: New Approach for Better Simulation Analysis of Multi-Variable Investment Projects
1.INTRODUCTIONIn this paper we are interested in exploring how typical simulation based investment analysis can be enhanced to offer better managerial decision-support in terms of providing better actionable information about threshold values for identified...
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Fuzzy Grouping Variables in Economic Analysis. a Pilot Study of a Verification of a Normative Model for R&d Alliances
(ProQuest: ... denotes formulae omitted.)1.INTRODUCTIONMany investments decisions in presence of uncertainty can be characterized as real options problems [9, 19]. Consequently, in the last decade, the development of normative techniques to evaluate...
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Real Option Approach for Comparing Lifetime Costs of Alternative Diabetes Type I Treatment Methods
1.INTRODUCTIONDiabetes costs represent a significant worry to both patients and the health care system. The estimated total economic cost of diagnosed diabetes in USA in 2012 was $245 billion, of which type 1 diabetes (T1D) costs are $15 billion (Yang...
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Similarity Classifier with Weighted Ordered Weighted Averaging Operator
(ProQuest: ... denotes formulae omitted.)1.INTRODUCTIONVast amount of data produced by computers and the internet of things and the increased ability to create automated systems have led to a growing need for effective ways to monitor performance and...
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Vol. 21, No. 1, May

Aggregation Methods for Fuzzy Judgments
Keywords: judgment aggregation, fuzzy, collective decisionJEL Code: C02, C60, D711.INTRODUCTION AND LITERATURE REVIEWAggregation theories have been of considerable importance for the social scientists since the 18th century, with significant research...
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A Formalization of the Theory of Expertons. Theoretical Foundations, Properties and Development of Software for Its Calculation
JEL Classification: C02, C651.INTRODUCTIONMany economic situations that require some decision-making are unlikely to be treated with total objectivity and can be controversial. Sometimes, the poor quality of objective data means that many forecasts cannot...
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Crude Oil Market and Geopolitical Events: An Analysis Based on Information-Theory-Based Quantifiers
JEL: G14, Q40, C491.INTRODUCTIONIt is needless to say that crude oil represents a strategic asset and a very important commodity for the world economy. Since the oil embargo in the 1970s, the market experienced several important disruptions, due to global...
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Modeling Naïve Causality in Everyday Reasonig with Fuzzy Logic
1.FUZZY CAUSAL REASONINGConsider a statement like the following: "In bad weather conditions there are usually more car accidents. Bad weather always increases traffic congestion, which often escalates the probability of car accidents. We can reduce the...
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Vol. 20, No. 2, November

Analysis of Beta Coefficients in the Brazilian Stock Market Using Fuzzy Linear Regression Methodology
(ProQuest: ... denotes formulae omitted.)1.INTRODUCTIONThe Capital Asset Pricing Model (CAPM) sets the expected return on any asset as a positive linear function of its systematic risk measured by means of the beta coefficient (ß). This concept emphasizes...
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A Method for the Evaluation and Selection of an Appropriate Fuzzy Implication by Using Statistical Data
JEL Classification: C02, C60, C611.INTRODUCTIONWe know that the implication in classic logic depends only on whether the premise is true or false. That is, whether the syllogism (reasoning) is true or false depends solely on if the premise and the conclusion...
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Water Infrastructure Financing in Spain: Potential for Securitization
JEL Classification: G23, G32, H54, L951.INTRODUCTIONWater is a utility with a wide variety of uses but there are certain regions where its availability is uncertain. This situation explains the fact that the water issue has been, and still is, an ongoing...
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Vol. 20, No. 1, May

Rough Sets and Discriminant Analysis Techniques for Business Default Forecasting
(ProQuest: ... denotes formulae omitted.)1. INTRODUCTIONMany studies have addressed the problem of bankruptcy prediction and most of them do their analysis through financial ratios. Beaver (1966) utilized t-tests to evaluate the predictive ability of...
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Fuzzy Similarity and Counterfactuals in the Assessment of Default Risk: The Eurozone Crisis and the Argentinean Solution
(ProQuest: ... denotes formulae omitted.)1. INTRODUCTIONThe events that followed the 2008 financial crisis have shown that countries believed to be shielded against financial turmoil were much frailer than thought. Since then numerous voices pointed...
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Analysis of Recommendations about Expected Prices of Ibex 35 Using Fuzzy Numbers
(ProQuest: ... denotes formulae omitted.)1. INTRODUCTIONThe wide variety of the financial instruments traded in the markets and their movements have generated interest among a broad range of specialists, from brokers and policy makers to researchers...
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How Do Different Time Spans Affect the Prediction Accuracy of Business Failure?
(ProQuest: ... denotes formulae omitted.)1. INTRODUCTIONThe global financial crisis that started in 2007 in the United States of America, and the consequent increase of bankruptcy firms since then in many countries, has revived the interest in predicting...
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Vol. 19, No. 2, November

Selection of Cocoa Post-Harvest Technology Using Fuzzy Logic
1. INTRODUCTIONOne of the most important drivers of quality in fine aroma cocoa (Theobroma cacao L.), prior to industrialization, is the postharvest1. This process involves the preparation of the bean for further processing and marketing in industries...
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Fuzzy Evaluation of Service Quality in the Banking Sector: A Decision Support System
(ProQuest: ... denotes formulae omitted.)1. INTRODUCTIONThe banking sector is the cornerstone of every economy as it assures the proper functionality of the economic system, regardless of the leeway granted to the industry. The banking industry can be...
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An Extension on Fuzzy Integer Linear Programming with Equality Constrains
(ProQuest: ... denotes formulae omitted.)1. INTRODUCTIONInteger linear programming models are employed in a large number of problems with intrinsically integer variables: problems with manufacturing product units, transport problems, allocation and optimisation...
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Vol. 19, No. 1, May

Finding Business Failure Reasons through a Fuzzy Model of Diagnosis
(ProQuest: ... denotes formulae omitted.)1. INTRODUCTIONIn literature there are very few models which use fuzzy relations to diagnose problems in firms [1] to [5]. In this work is proposed to apply the Vigier and Terceño diagnosis model [1] to analyse...
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Study of Discrete Choice Models and Fuzzy Rule Based Systems in the Prediction of Economic Crisis Periods in USA
(ProQuest: ... denotes formulae omitted.)1. INTRODUCTIONThe economic facts and the financial crisis in the last three years lead to doubts among the economic society and governments of which methodology must be followed and what regulations should be...
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A Theoretical Model for the Underground Economy
(ProQuest: ... denotes formulae omitted.)1. INTRODUCTIONThe aim of this work is to build a theoretical model that explains the presence of the underground economy and the reasons for the cyclical pattern of its impact. A new way of looking at the problem...
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Strategic Analysis of Forest Investments Using Real Option: The Fuzzy Pay-Off Model (Fpom)
(ProQuest: ... denotes formulae omitted.)INTRODUCTIONThe forestry sector exhibits particularities that have recently attracted the interest of institutional investors. The appealing features of this industry are based on the tangibility of its assets,...
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Vol. 18, No. 2, November

Relationships between Stakeholders and Reports Using Fuzzy Relations
The main parameter of the concept of corporate social responsibility is to consider the expectations of different stakeholders (employees, partners, customers, local communities, the environment, shareholders, vendors, etc.) regarding the behavior of...
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The Permanence of the Client under Uncertain Estimations
Marketing has studied the permanence of a client within an enterprise because it is a key element in the study of the value (economic) of the client (CLV). The research that they have developed is based in deterministic or random models, which allowed...
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Vol. 17, No. 2, November

The Moore's Closure for Analyzing Relationships between Agents in Industrial Clusters
Industrial clusters try to exploit the effect of external economies and joint actions that come from the collaboration between their agents. But in order that these effects arise it is needed close cooperation partnerships between the agents in the industrial...
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Fuzzy Sets Application to Healthcare Systems
The fuzzy set concept was introduced by LotfiA. Zadeh in 1965 to provide a tool to describe vague predicates or classes with imprecise boundaries and which enable an uncertainty nonadditive calculation, based on softoperators.Zadeh recognises that conventional...
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Optimal Use of Cellphone Frequencies with Robust Graph Coloring
The Robust Coloring Problem (RCP) is an NP-Hard problem for which had been developed many applications. In this work a Model based in Robust Coloring Problem is developed for the frequency assignment in cellphones that increases 25% the capacity installed...
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Vol. 17, No. 1, May

Variable Population Mopso Applied to Medical Visits
Multi-objective optimization techniques are the ideal support tools for the decision-making process. They provide a set of optimal solutions for each of the significant aspects of the problem, thus summarizing the alternatives to be considered. Having...
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Advantages of Using Self-Organizing Maps to Analyse Student Evaluations of Teaching
Surveys to evaluate teaching performance are one of the most widely used instruments for assessing teaching capabilities and, consequently, the quality of teaching. Their success is largely due to how they are designed and the way in which they process...
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