"A sound simplification of a system should minimize the loss of relevant information with respect to the required reduction of its complexity" (1986, p.270).
G. KLIR explains: "As in the identification problem, the loss of information is measured here by the increase in uncertainty. An appropriate measure of uncertainty is thus used again as an arbiter. Among all comparable simplifications of the given system, we accept only these with minimum uncertainty. For probabilistic systems, for example, the simplification principle becomes the well established "principle of minimum entropy" (p.270).
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Bertalanffy Center for the Study of Systems Science (2020). Title of the entry. In Charles François (Ed.), International Encyclopedia of Systems and Cybernetics (2). Retrieved from www.systemspedia.org/[full/url]
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