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FUZZY ECONOMIC REVIEW

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

Volume XIX, Number 2. November 2014

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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AN EXTENSION ON FUZZY INTEGER LINEAR PROGRAMMING WITH EQUALITY CONSTRAINS

Manuel Díaz-Madroñero. Research Centre on Production Management and Engineering (CIGIP), Universitat Politècnica de València, Spain

Josefa Mula. Research Centre on Production Management and Engineering (CIGIP), Universitat Politècnica de València, Spain

Mariano Jiménez. Department of Applied Economy, Universidad del País Vasco, Spain

Jiménez et al. (2007) propose a method for solving linear programming problems with fuzzy coefficients by using a fuzzy ranking method to rank the fuzzy objective values and to deal with the inequality relation on constraints with decision variablesconsidered to be real numbers. Here, we formulate an extended fuzzy ranking…
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FUZZY EVALUATION OF SERVICE QUALITY IN THE BANKING SECTOR: A DECISION SUPPORT SYSTEM

Udo Braendle. Corresponding author, U. Braendle is Associate Professor of Management and Chair of the Department of Business and Economics at the American University in Dubai and Externa Lecturer at the University of Vienna

Sahar Sepasi. Faculty of Management and Economics, Tarbiat Modares University in Tehran, Iran

Amir Hossein Rahdari. Faculty of Management and Economics, Tarbiat Modares University in Tehran, Iran

This study aims at proposing a modified 7-category fuzzy SERVQUAL to measure service quality for the banking sector. We have added new categories to the conventional SERVQUAL to account for the impacts of the bank’s Corporate Social Responsibility (CSR) initiatives, and e-banking. A questionnaire was distributed among the banks’ customers…
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