16-04-2012, 03:42 PM
Why Fuzzy Logic – A Spectrum of Theoretical and Pragmatics Issues
Fuzzy Logic A Spectrum of Theoretical and Practical Issues~tqw~_darksiderg.pdf (Size: 12.69 MB / Downloads: 259)
Introduction
According to Professor Sir G. Elliot Smith, Invention is not an isolated phenomenon
in the history of civilization [1]. Even the simplest advance represents
the interweaving of many threads of knowledge that took centuries or thousands
of years to spin. The enormous complexity of the process and the fact
that a progressive development is built on the foundations of the accumulated
knowledge of the whole world of civilization are fatal to the common opinion
that significant inventions can be made independently. A case in point, the
subject matter of this volume dealing with fuzzy logic is no exception. Hence
at the very outset, we would like to claim that despite of the enormous literature
available at present on fuzzy logic, it just started the study of its very
foundations and that important application field such as the highly relevant
discipline of psychological research and its relations is of particularly lacking.
Theoretical Issues
Pradera et al. analyze some of the main issues involved in the construction
of fuzzy set theories in Chap. 2. Based upon the arguments of this chapter,
even though we do have well agreed about t-norms and t-conorms standard
solutions, it is still necessary to investigate some alternative fuzzy connectives
and their properties.
Pragmatics Issues
As odd as it sounds, it is the pragmatics issues that will reveal the strength
or weakness of a theory. This section serves to explore the issues associated
with different domains of the application areas of fuzzy logic.
Mathematical Modeling
Appropriately, the first application area of fuzzy logic deals with mathematical
modeling. Chap. 7, as it turns out, is a good example of using fuzzy
logic as a vehicle for mathematical modeling. Margaliot correctly argues that
human observers very naturally use verbal descriptions and explanations of
various systems. Specifically, he illustrates two examples on mimicking a natural
behavior -the field of ethology-; one has to do with the territorial behavior
of fish and the other has to do with the orientation to light of a flatworm.
Conclusions
The valorization of technologies by the market happens to be one of the key
factors of industrial policies. However, the construction of relations between
technologies and the market, conventionally done by an empirical method is
unsatisfactory. By drawing on fuzzy logic and matrix calculation, formalized
relations can be established between the market, of which the definition is
limited in this work in terms of consumer needs and technologies, between
technologies and economic and financial analysis, between technologies and
technological innovation.