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FUZZY ECONOMIC REVIEW

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

Volume VI, Number 2. November 2001

Evaluation of Fuzzy Rules Extracted from Data

Adam Schenker and Abraham Kandel. University of South Florida

Mark Last. Ben-Gurion University of the Negev

A general methodology for evaluation of fuzzy rules extracted from data is presented. Though the primary goal of most data mining systems is high classification or prediction accuracy, the user may be interested in rules which are not necessarily the most accurate. Our approach provides an alternative measure of rule…
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The Aggregate Opinion of Several Experts in The Fuzzy and PERT Methodologies

Salvador Cruz Rambaud, José García Pérez. University of Almería

The aim of this paper is to determine a beta distribution of the first type, when a group of experts coincide in the minimum and the maximum values of a random variable (times, in the case of tasks; cash-flows, in the case of investments, etc.), but they disagree with the…
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On The Use of Multicriteria Classification Methods: A Simulation Study

Michael Doumpos, Constantin Zopounidis. Technical University of Crete

The classification of a set of alternatives into predefined homogenous groups is a problem with major practical interest in many fields. Over the past two decades several non-parametric approaches have been developed to address the classification problem, originating from several scientific fields. Among these approaches, multicriteria decision aid (MCDA) has…
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A Fuzzy Expert System for Solving Real-Option Decision Processes

C.A. Magni, G. Mastroleo and G. Facchinetti. University of Modena and Reggio-Emilia

This paper presents a new approach to real options. The current options-based models have provided new insights into capital-budgeting decisions. Unfortunately they are not widely used by corporate managers and practitioners as they are formally complex, rather difficult to understand and rest on strong implicit assumptions that considerably limit their…
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Qualitative/Quantitative Financial Analysis

Juan Flores, Federico González, Beatriz Flores. Universidad Michoacana de San Nicolás de Hidalgo

We present a methodology to perform Financial Analysis with as much information as available. The problem we solve is the assessment of investment projects; we are to determine whether or not an investment project is profitable. We perform that task at the qualitative, semi-quantitative, and quantitative levels, depending on how…
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