Title: Fuzzy probabilities of biological continuous fuzzy events

Authors: Elisabeth Rakus-Andersson

Addresses: Blekinge Institute of Technology, School of Engineering, Department of Mathematics and Science, S-37179 Karlskrona, Sweden

Abstract: In the first part of this study we explore continuous fuzzy numbers in the interval and the α-cut forms to detect their similar nature. The conversion from one form to the other is a question of using the appropriate apparatus, which we also provide. Since the fuzzy numbers can reproduce fuzzy events we then will make a trial of extending the concept of fuzzy probability, defined by R. Yager (1979) for discrete fuzzy events, on continuous fuzzy events. In order to fulfil the task we utilise conclusions made about fuzzy numbers to propose an initial conception of approximating the Gauss curve by a particularly designed function originated from the π-class functions. Due to the procedure of the approximation, characterised by an irrelevant cumulative error, we expand fuzzy probabilities of continuous fuzzy events in the form of continuous fuzzy sets.

Keywords: fuzzy sets; fuzzy logic; interval fuzzy numbers; alpha-cut fuzzy numbers; pi-function; curve fitting; continuous fuzzy events; continuous fuzzy probability; computational intelligence; biological fuzzy events.

DOI: 10.1504/IJCISTUDIES.2009.031346

International Journal of Computational Intelligence Studies, 2009 Vol.1 No.2, pp.191 - 204

Published online: 01 Feb 2010 *

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