Log in

+34 977 759833sigef@urv.cat

FUZZY ECONOMIC REVIEW

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

Volume XI, Number 2. November 2006

A comparison of k-means and fuzzy c-means using background knowledge

J. Goddard, S.G. de los Cobos Silva, M.A. Gutiérrez Andrade. Universidad Autónoma Metropolitana

Relevant Component Analysis has been introduced recently as a way to incorporate a priori information, such as class or preference information, that may exist for a given data set. The method uses this information to define a new Mahalanobis distance metric on the data space. The purpose of the present…
Read more...

Economic principle on fuzzy profit by weighted average value

Gisella Facchinetti, Nicoletta Pacchiarotti. University of Modena and Reggio Emilia

The well-known economic principle on profit states that the profit is maximum when the marginal revenue equals the marginal cost. We hereby present the case where the price and the cost are polynomials in the demand quantity units. The coefficients are trapezoidal fuzzy numbers, hence the price and the cost…
Read more...

Evaluation of iris ratios using α-cuts

Luisa L. Lazzari, María José Fernández. Universidad de Buenos Aires

Among the elements that are used to make the economical-financial analysis of a firm, we can mention ratios, which offer a wide range of possibilities to determine the situation of the company in a particular moment, as well as its evolution in time, and its position com-pared with other firms.…
Read more...

Fuzzy logic approach to identification and forecasting of financial time series using elliott wave theory

Andriy Matviychuk. Kyiv National Economic University

There are developed the approach and the model of identification and forecasting of financial indexes using methods of fuzzy logic theory taking into account a number of specific rules of price curve development from Elliott wave theory. The carried out analysis of forecasting results on real data con-firms the reliability…
Read more...

A fuzzy decision support system to identify establishments with low paid employees in the british economy

Malcolm J. Beynon, Keith Whitfield. Cardiff University

Enforcing compliance with the National Minimum Wage (NMW) in the British economy requires the identification of those establishments that are likely to pay a substantial proportion of their employees less than the NMW. In this paper, a fuzzy decision support system is constructed to aid in the elucidation of such…
Read more...

Log in or Sign up

Cron Job Starts