Montero de Juan, Francisco Javier (2008) Soft Sciences versus Crisp Sciences: a look into the future of Science. In 2008 3rd International Conference on Intelligent System and Knowledge Engineering,. IEEE, Xiamen, Peoples R China, pp. 1384-1387. ISBN 978-1-4244-2196-1
Restricted to Repository staff only until 2020.
In this paper we pretend to open a discussion on the need of alternative approaches to Western Sciences, pointing out some of the restrictive consequences of the Aristotelian logic Western Sciences assume in their deeper roots. In particular, we stress that meanwhile some logic is needed in order to check consistencies and inconsistencies, the past practical uniqueness of such a logic imposed that experiments and information had to be modeled, as the only consistent possibility, the way they are described in Probability Theory. In these terms it is easy to understand that all those Social Sciences that deal with linguistic information will never fully fit key Western scientific requirements. But perhaps an alternative Science can be consistently constructed from a non-binary logic, allowing the term "soft" Sciences to become proper, in opposition to "hard" Sciences, that should since then be called "crisp" Sciences.
|Item Type:||Book Section|
|Additional Information:||3rd International Conference on Intelligent System and Knowledge Engineering NOV 17-19, 2008|
|Subjects:||Sciences > Mathematics > Operations research|
A. Bechara, H. Damasio and A.R. Damasio (2003):Role of the amygdala in decision-making. Annals of the New York Academy of Sciences 985,pp. 356-369.
A. Bechara, D. Tranel and H. Damasio (2000): Characterization of the decision-making deficit of patients with ventromedial prefrontal cortex lesions. Brain 123,pp. 2189-2202.
A.N. Kolmogorov (1956): Foundations of the theory of probability (Chelsea Publishing Co., New York).
J. Montero (2003): Classifiers and decision makers.In D. Ruan et al., eds.: Applied Computational Intelligence (World Scientific, Singapore), pp. 19-24.
J. Montero (to appear): Fuzzy logic and Science. In R. Seising, ed.: Fuzzy Set Theory, Philosophy, Logics and Criticism (Springer-Verlag, Berlin)
J. Montero, V. Lopez and D. Gomez (2007): The role of fuzziness in decision making. In D. Ruan et al.: Fuzzy Logic: an spectrum of applied and theoretical issues (Springer, Berlin), pp. 337-349.
J. Montero and M. Mendel (1998): Crisp acts,fuzzy decisions. In S. Barro et al., eds.: Advances in Fuzzy Logic (Universidad de Santiago de Compostela, Santiago de Compostela), pp.219-238.
B. Roy (1993): Decision sciences or decision aid sciences, European Journal of Operational Research 66:pp.184-203.
G. Shafer (1986): Savage revisited. Statistical Science 1:pp.463-501.
L.A. Zadeh (1965): Fuzzy Sets. Information and Control 8:pp.338-353.
|Deposited On:||29 Oct 2012 11:07|
|Last Modified:||29 Oct 2012 11:07|
Repository Staff Only: item control page