Author:
Bassanezi R.C.,de Barros L.C.
Abstract
The use of deterministic or stochastic models to describe an observable phenomenon is considered to present enormous difficulty when evaluating the subjective parameters.
In those cases where randomness cannot be established, or when there are not sufficient data available, it is believed that fuzzy theory is the appropriate approach to the problem. Utilizes the classical stochastic Boltzman model to compare the stochastic and fuzzy techniques. Gives a comparison of a specific case study: the life expectancy of individuals whose causa mortis is affected by poverty.
Subject
Computer Science (miscellaneous),Social Sciences (miscellaneous),Theoretical Computer Science,Control and Systems Engineering,Engineering (miscellaneous)
Reference9 articles.
1. De Barros, L.C. "Modelos determinísticos com parâmetros subjetivos", MS thesis:IMECCUNICAMP, Campinas, 1992.
2. The application of Fuzzy set theory to the modeling of competition in ecological systems
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