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FSS
2008

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On the difference between traditional and deductive fuzzy logic

14 years 15 days ago

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In three case studies on notions of fuzzy logic and fuzzy set theory (Dubois

Libor Behounek

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Id	Views	Title	Status

1	179	On the difference between traditional and deductive fuzzy logic	claim
2	147	A general framework for fuzzy morphological associative memories	claim
3	145	A logic programming framework for possibilistic argumentation: Formalization and logical properties	claim
4	143	On the first place antitonicity in QL-implications	claim
5	134	A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets	claim
6	130	A fuzzy k-partitions model for categorical data and its comparison to the GoM model	claim
7	127	On the computing power of fuzzy Turing machines	claim
8	126	Linguistic summarization of time series using a fuzzy quantifier driven aggregation	claim
9	124	Exact calculations of extended logical operations on fuzzy truth values	claim
10	122	Type-2 implications on non-interactive fuzzy truth values	claim
11	117	(S, N)- and R-implications: A state-of-the-art survey	claim
12	113	Consistency measure, inclusion degree and fuzzy measure in decision tables	claim
13	110	Learning valued preference structures for solving classification problems	claim
14	108	A collaborative recommender system based on probabilistic inference from fuzzy observations	claim
15	105	The self-dual core and the anti-self-dual remainder of an aggregation operator	claim
16	105	Mining multiple-level fuzzy blocks from multidimensional data	claim
17	98	Fuzzy edge detection for omnidirectional images	claim
18	94	Lattices of convex normal functions	claim
19	89	On the equivalence of some approaches to the OWA operator and RIM quantifier determination	claim
20	88	Solution of a system of linear equations with fuzzy numbers	claim
21	87	Higher order models for fuzzy random variables	claim
22	87	Triangle algebras: A formal logic approach to interval-valued residuated lattices	claim
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24	82	Lattice-valued convergence spaces and regularity	claim
25	81	Extreme lower probabilities	claim
26	80	Relations in Fuzzy Class Theory: : Initial steps	claim
27	78	On the granularity of summative kernels	claim
28	78	On heuristics as a fundamental constituent of soft computing	claim
29	76	A comprehensive theory of trichotomous evaluative linguistic expressions	claim
30	76	Approximation by pseudo-linear operators	claim
31	69	A methodology for automated fuzzy model generation	claim
32	64	Semilinear copulas	claim
33	63	Mining association rules from imprecise ordinal data	claim
34	56	Quantum conservative many-valued computing	claim
35	54	The concave integral over large spaces	claim

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