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EUSFLAT
2003

305views Fuzzy Logic» more EUSFLAT 2003»

On the cardinality of fuzzy sets

13 years 5 months ago

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It seems that a suitably constructed fuzzy sets of natural numbers form the most complete and adequate description of cardinality of ﬁnite fuzzy sets.(see [11]) Nevertheless, in...

Pavol Král

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Id	Views	Title	Status

1	305	On the cardinality of fuzzy sets	claim
2	206	Analysis of multi-product break-even with uncertain information	claim
3	205	The use of NNPLS algorithm for on-line calibration monitoring	claim
4	187	Edge orientation-based fuzzy Hough transform (EOFHT)	claim
5	175	A multiattribute decision making approach using intuitionistic fuzzy sets	claim
6	174	Evolvable fuzzy controllers using parallel evolutionary algorithms	claim
7	173	Intuitionistic fuzzy graph interpretations of multi-person multi-criteria decision making	claim
8	165	Genetic fuzzy systems to evolve coordination strategies in competitive distributed systems	claim
9	161	Fuzzy interpolation and level 2 gradual rules	claim
10	161	Intuitionistic fuzzy sets: past, present and future	claim
11	155	Fuzzy clustering for indexing in the GAMBAL information retrieval system	claim
12	155	Bayesian networks for transport decision scenarios	claim
13	152	Bayesian networks for continuous values and uncertainty in the learning process	claim
14	146	Clarifying Elkan's theoretical result	claim
15	146	Cut equivalence of fuzzy relations	claim
16	145	Proximity fuzzy clustering for web context analysis	claim
17	143	Prediction of surface roughness in ultraprecision turning using fuzzy logic	claim
18	139	Distances and orderings in a family of intuitionistic fuzzy numbers	claim
19	139	Deduction in a GEFRED database using Datalog	claim
20	138	Multirelational linguistic models	claim
21	134	Fuzzy approaches to access information on the web: recent developments and research trends	claim
22	132	Modeling high interest areas in descriptive TS fuzzy rule based systems	claim
23	131	Flexible querying via intuitionistic fuzzy sets	claim
24	131	From communication networks to fuzzy sets	claim
25	130	Resource-allocating probabilistic neuro-fuzzy network	claim
26	129	Application of f-regression method to fuzzy classification problem	claim
27	128	Hardware implementation of a fuzzy Petri net based on VLSI digital circuits	claim
28	128	Planning time restricted logistic tours with fuzzy logic	claim
29	127	Conceptual matching in web search using FIS-CRM for representing documents	claim
30	126	On the complexity of propositional logics with an involutive negation	claim
31	125	On convex-concave perception based functions	claim
32	125	Two fuzzy probability measures	claim
33	124	A polymorphical mutation operator for evolution strategies	claim
34	124	Aggregation operators 2003	claim
35	124	Fuzzy classification of water pressure test curves	claim
36	123	Intuitionistic fuzzy sets - an alternative look	claim
37	122	Structure recognition on sequences with a neuro-fuzzy-system	claim
38	122	Monotone measures of intuitionistic fuzzy sets	claim
39	121	A measure of similarity for intuitionistic fuzzy sets	claim
40	121	An adaptive learning algorithm for a neo fuzzy neuron	claim
41	120	A Type 2 fuzzy system modelling algorithm	claim
42	119	On bicriterial decisions in well-drilling processes using fuzzy logic	claim
43	119	Comparison of two approaches to approximated reasoning	claim
44	119	On some properties of intuitionistic fuzzy implications	claim
45	117	Genetic fuzzy controllers: from simulated based learning to a real application	claim
46	117	On a modeling of decision making with a twofold integral	claim
47	116	Fuzzy logic and the Pittsburgh classifier system for mobile robot control	claim
48	115	A hierarchical fuzzy rule-based learning system based on an information theoretic	claim
49	114	Approximation abilities of perception-based logical deduction	claim
50	114	A generalized net model of a material-processing reactor equipped with chromatic monitoring and control based on intuitionistic fuzzy evaluation of the chromaticity	claim
51	114	Linguistically quantified thresholding strategies for text categorization	claim
52	114	The Choquet integral for 2-additive bi-capacities	claim
53	112	Vehicle routing and scheduling with fuzzy time windows and fuzzy goal	claim
54	110	Genetic algorithm in expert system of choice in the investment projects	claim
55	110	Neuro-finite element static analysis of structures by assembling elemental neuro-modelers	claim
56	110	Fuzzy-neuro risk assessment of distributed real-time systems through formal and object-oriented systems modelling	claim
57	109	Inconsistencies in linguistic descriptions from the point of view of fuzzy logic	claim
58	109	Diagnosis of dermatological diseases by a neuro-fuzzy system	claim
59	108	On the design of metaheuristic algorithms using fuzzy rules	claim
60	108	Soft computing and control of district heating system	claim
61	107	Decision-theoretic approaches in fuzzy rule generation for diagnosis and fault detection problems	claim
62	107	User-tailored fuzzy relations between intervals	claim
63	107	A framework for multicriteria selection based on measuring query responses	claim
64	106	Fuzzy control for a liquid level system	claim
65	106	An XML vocabulary for soft computing	claim
66	106	Intuitionistic fuzzy sets or orthopair fuzzy sets?	claim
67	106	Perception-based systems for medical diagnosis	claim
68	106	The fuzzy single machine scheduling problem - some general properties	claim
69	105	Nearness relations and topology	claim
70	105	Perception based functions with boundary conditions	claim
71	104	Expert and induced knowledge for intelligent motion analysis of ground robots	claim
72	103	Instance-based collaborative filtering with fuzzy labels	claim
73	102	Transitive comparison of marginal probability distributions	claim
74	102	Homogenizing multi-adjoint logic programs	claim
75	102	Relevance feedback: introduction of partial assessments for query expansion	claim
76	101	Generalized negations and intuitionistic fuzzy sets - a criticism to a widely used terminology	claim
77	101	Fleas and fuzzy logic: a survey	claim
78	101	Nearness and uniform convergence	claim
79	101	Improving interpretability in approximative fuzzy models via multi-objective evolutionary algorithms	claim
80	100	Evaluating the informative quality of web documents using fuzzy linguistic techniques	claim
81	100	Commuting aggregation operators	claim
82	100	Fuzzy identification of rock layers with anomalous pressure	claim
83	100	A fuzzy analysis of a Richter theorem in fuzzy consumers	claim
84	99	Cardinalities of fuzzy sets with triangular norms	claim
85	99	Using component division criterion for fuzzy system vitality analysis	claim
86	97	Genetic learning of accurate TS models based on local fuzzy prototyping	claim
87	97	Possibility relations: the hidden face of fuzzy preorders	claim
88	97	Capacities on lattices and k-ary capacities	claim
89	97	Modelling with temporal fuzzy chains	claim
90	95	Grey systems and interval valued fuzzy sets	claim
91	94	Intuitionistic fuzzy n-ary systems	claim
92	93	Some meta-theorems on fuzzy cardinalities and their application	claim
93	93	Stability of backpropagation learning rule	claim
94	93	The role and properties of rule relevancy in fuzzy inference process	claim
95	92	Current issues and future directions in evolutionary fuzzy systems research	claim
96	92	On the preservation of monotonicity by extended mappings	claim
97	91	Fusion with quantitative weights	claim
98	91	Fuzzy-evidence approach to uncertainty modelling and reliability	claim
99	90	Transitivity of fuzzy strict preference relations in absence of incomparability	claim
100	88	Modelling nursing intuition - a non-deterministic approach	claim
101	87	From fuzzy type theory to fuzzy intensional logic	claim
102	87	Self-dual types of cycle-transitivity	claim
103	86	Relational Takagi-Sugeno models for rainfall-discharge modeling	claim
104	83	Propagation of uncertainty involving imprecision and randomness	claim
105	83	Fuzzy logic techniques for reputation management in anonymous peer-to-peer systems	claim
106	82	Fuzzy models for prediction based on random set semantics	claim
107	81	Minimisation of the expected weighted number of jobs being late with fuzzy processing time in a one machine system	claim
108	80	Fuzzy relation equations and approximate solutions. Some recent results	claim
109	78	Cancellative t-norms	claim
110	77	Signal processing and neural network models for economic time series	claim

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