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Petr DostálEconomy & Management – Decision Making – Artificial Intelligence |
| Artificial Intelligence - Soft Computing - Fuzzy logic - Genetic algorithms - Neural networks - Chaos Theory | |
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Personal About me Curriculum vitae CV in Czech Contact details Publications My books Classic methods Fuzzy logic Neural network Genetic algorithms Hybrid methods Chaos theory Other Teaching BUT Brno, Czechia MUNI Brno, Czechia TBU Zlin, Czechia EPI Kunovice, Czechia SUA Nitra, Slovakia NTU Nottingham, UK ASU Cairo, Egypt DOM Chicago, USA UCH Chicago, USA KU Kathmandu, Nepal AU Ariel, Izrael NCCU Taipei, Taiwan HIT Haldia, Indie UAS Leiden, Netherlands SIU Győr, Hungary UD Dubai, UAE PhD students Foreign students Cooperation Consulting Photogallery Other About Soft computing My hobbies My organ songs History Links |
What Is Soft Computing?A Definition of Soft Computing - adapted from L.A. ZadehSoft computing differs from conventional (hard) computing in that, unlike hard computing, it is tolerant of imprecision, uncertainty, partial truth, and approximation. In effect, the role model for soft computing is the human mind. The guiding principle of soft computing is: Exploit the tolerance for imprecision, uncertainty, partial truth, and approximation to achieve tractability, robustness and low solution cost. The basic ideas underlying soft computing in its current incarnation have links to many earlier influences, among them Zadeh's 1965 paper on fuzzy sets; the 1973 paper on the analysis of complex systems and decision processes; and the 1979 report (1981 paper) on possibility theory and soft data analysis. The inclusion of neural computing and genetic computing in soft computing came at a later point. At this juncture, the principal constituents of Soft Computing (SC) are Fuzzy Logic (FL), Neural Computing (NC), Evolutionary Computation (EC) Machine Learning (ML) and Probabilistic Reasoning (PR), with the latter subsuming belief networks, chaos theory and parts of learning theory. What is important to note is that soft computing is not a melange. Rather, it is a partnership in which each of the partners contributes a distinct methodology for addressing problems in its domain. In this perspective, the principal constituent methodologies in SC are complementary rather than competitive. Furthermore, soft computing may be viewed as a foundation component for the emerging field of conceptual intelligence. http://www.soft-computing.de/def.html Soft Computing ApplicationsBank-ClosingBank-Opening Traveller Stocks |
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