otitis-externa 发表于 2025-3-21 18:48:28
书目名称Rough Sets and Current Trends in Computing影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0831901<br><br> <br><br>书目名称Rough Sets and Current Trends in Computing影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0831901<br><br> <br><br>书目名称Rough Sets and Current Trends in Computing网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0831901<br><br> <br><br>书目名称Rough Sets and Current Trends in Computing网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0831901<br><br> <br><br>书目名称Rough Sets and Current Trends in Computing被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0831901<br><br> <br><br>书目名称Rough Sets and Current Trends in Computing被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0831901<br><br> <br><br>书目名称Rough Sets and Current Trends in Computing年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0831901<br><br> <br><br>书目名称Rough Sets and Current Trends in Computing年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0831901<br><br> <br><br>书目名称Rough Sets and Current Trends in Computing读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0831901<br><br> <br><br>书目名称Rough Sets and Current Trends in Computing读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0831901<br><br> <br><br>BABY 发表于 2025-3-21 22:24:09
Improving the ,-Precision and OWA Based Fuzzy Rough Set Models: Definitions, Properties and Robustne adjust the .-precision and the ordered weighted average based fuzzy rough set models in such a way that the number of theoretical properties increases. Furthermore, we evaluate the robustness of the new models a-.-PREC and a-OWA to noisy data and compare them to a general implicator-conjunctor-base摇曳的微光 发表于 2025-3-22 01:37:53
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Some Fundamental Laws of Partial First-Order Logic Based on Set Approximationsost general problem is what happens if in the semantics of first-order logic one uses the approximations of sets as semantic values of predicate parameters instead of sets given by their total interpretation in order to determine the truth values of formulas? The authors show some unexpected propertiodides 发表于 2025-3-22 09:49:04
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A Comparison of Two Versions of the MLEM2 Rule Induction Algorithm Extended to Probabilistic Approxiprobabilistic approximations were additionally generalized to an arbitrary binary relation so that probabilistic approximations may be applied for incomplete data. We discuss two ways to induce rules from incomplete data using probabilistic approximations, by applying true MLEM2 algorithm and an emu