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Titlebook: Information Processing and Management of Uncertainty; 15th International C Anne Laurent,Oliver Strauss,Ronald R. Yager Conference proceedin

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樓主: FLUX
31#
發(fā)表于 2025-3-26 23:42:25 | 只看該作者
32#
發(fā)表于 2025-3-27 04:31:33 | 只看該作者
A Fuzzy R Code Similarity Detection Algorithmrity among practitioners and scientists. In this paper we present a preliminary version of a system to detect pairs of similar . code blocks among a given set of routines, which bases on a proper aggregation of the output of three different [0,1]-valued (fuzzy) proximity degree estimation algorithms
33#
發(fā)表于 2025-3-27 09:07:32 | 只看該作者
34#
發(fā)表于 2025-3-27 10:22:10 | 只看該作者
Variable-Range Approximate Systems Induced by Many-Valued ,-Relations defined on the lines of the paper (A. ?ostak, Towards the theory of approximate systems: variable-range categories. Proceedings of ICTA2011, Cambridge Univ. Publ. (2012) 265–284.) Such variable-range (quasi-)approximate systems can be realized as special families of .-fuzzy rough sets indexed by el
35#
發(fā)表于 2025-3-27 15:21:42 | 只看該作者
Introducing Similarity Relations in a Framework for Modelling Real-World Fuzzy Knowledgee like “the restaurant is close to the city center” is true or false because it is neither true nor false. Letting apart paradoxes’ sentences, there are sentences (as the previous one) that are not true nor false but true up to some degree of truth or true at least to some degree of truth. In order
36#
發(fā)表于 2025-3-27 21:44:39 | 只看該作者
37#
發(fā)表于 2025-3-27 23:15:46 | 只看該作者
38#
發(fā)表于 2025-3-28 03:47:00 | 只看該作者
Minimal Solutions of Fuzzy Relation Equations with General Operators on the Unit Intervaltions has been related to fuzzy property-oriented concept lattices..This paper studies a procedure to obtain the minimal solutions of fuzzy relation equations .?°?.?=?., with an isotone binary operation associated with a (left or right) residuated implication on the unit interval. From this study se
39#
發(fā)表于 2025-3-28 09:12:01 | 只看該作者
Fuzzy Core DBScan Clustering Algorithmo parameters (. and .) to determine if a point lies in a dense area or not. Merging different dense areas results into clusters that fit the underlined dataset densities. In this approach, a single density threshold is employed for all the datasets of points while the distinct or the same set of poi
40#
發(fā)表于 2025-3-28 13:08:33 | 只看該作者
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