Abstract
It is well known that classical computing is strict, while soft computing is soft. But how soft is soft computing? Like water, cotton, or spring? Can the soft be at will? If can not be, how soft it should be? Is there a proper principle or restriction? Soft computing is a partnership of many solutions, and fuzzy logic is one of the most important members of it. On the basis of fuzzy logic, this paper analyzes the problems and weaknesses of the two ording methods– the ording in generalizing sequential relation and the ording method according to average with weight, which are two of the existing fuzzy matching and fuzzy ording methods. We propose several significant principles, which are not only effective to fuzzy logic but also to the whole soft computing. The principles remind us that we should hold the ’degree’ in soft computing, or else soft computing may lose its scientific character and soundness.
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Feng, N., Guo, Z., Dang, L., Dong, Y. (2007). How ’Soft’ Soft Computing Is: On the Ordering of Fuzzy Sets. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques. ICIC 2007. Communications in Computer and Information Science, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74282-1_34
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DOI: https://doi.org/10.1007/978-3-540-74282-1_34
Publisher Name: Springer, Berlin, Heidelberg
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