### Table 1: One second of DF2T Filter

2004

Cited by 1

### Table 1: One second of DF2T Filter

### Table 2 Properties of fuzzy systems and neural networks [54].

1996

Cited by 2

### Table 1. A simple fuzzy context given by planets and their properties

### Table 1. Families of fuzzy connectives

2000

"... In PAGE 4: ... In order to do so, a transformation of the genes to be combined is needed, from the interval [a; b] into [0; 1] and later, the result into [a; b]. Four families of fuzzy connectives were used for obtaining F, S and M functions, which are shown in Table1 . These fuzzy connectives accomplish the following property: TE TA TH TL PH PA PE PL GL GH GA GE: 2.... In PAGE 5: ... These crossover operators have di erent properties: the F-crossover and S-crossover operators show exploration and the M-crossover operators show exploitation. According to the associated property of the families of fuzzy connectives in Table1 , the degree in which each crossover operator shows its related property, depends on the fuzzy connective on which it is based. On the one hand, the Einstein F- and S-crossover operators show the maximum exploration, whereas the Logical ones represent the minimum exploration.... ..."

Cited by 19

### Table 1. Families of fuzzy connectives

1998

"... In PAGE 5: ... For this reason, they were called F-crossover, S-crossover and M-crossover, respectively. Four families of FCB-crossover operators may be obtained using the families of fuzzy connectives in Table1 . Each one of them is called the same as the related fuzzy connective family.... In PAGE 5: ...able 1. Each one of them is called the same as the related fuzzy connective family. These crossover operators have di erent properties: the F-crossover and S-crossover operators show exploration and the M-crossover operators show exploitation. According to the associated prop- erty of the families of fuzzy connectives in Table1 , the degree in which each crossover operator shows its related property, depends on the fuzzy connective on which it is based. On the one hand, the Einstein F- and S-crossover operators show the maximum exploration, whereas the Logical ones rep- resent the minimum exploration.... ..."

Cited by 3

### Table 1. Combination of properties

1999

"... In PAGE 4: ...Table1... In PAGE 14: ...99557 0.99742 6 Table1 0: AMAD and AD_SE with the best defuzzification method (D 1 and D 6 ) for R - implications. 4.... In PAGE 21: ...69736 0.71111 Table1 6: Mean Adaptation Degrees and Average Mean Adaptation Degrees for a fuzzy implication operator AD_SE Y - X AD_SE F1 AD_SE F2 Boolean Implication Extension Implica tion functions I 1 0.92301(D1) 0.... In PAGE 22: ...99557(D6) 0.99742(D6) Table1 7: Adaptation Degrees with some selected defuzzification method for a fuzzy implication operator. (D*)=(D4,7,10) ... ..."

Cited by 2

### Table 5: Fuzzy and neuro-fuzzy software systems.

2003

"... In PAGE 22: ...upports independent rules (i.e., changes in one rule do not effect the result of other rules). FSs and NNs differ mainly on the way they map inputs to outputs, the way they store information or make inference steps. Table5 lists the most popular software and hardware tools based on FSs as well as on merged FSs and NNs methodologies. Neuro-Fuzzy Systems (NFS) form a special category of systems that emerged from the integration of Fuzzy Systems and Neural Networks [65].... ..."

Cited by 2

### Table 2. Families of Fuzzy Connectives These fuzzy connectives ful l the following property: (P6) T4 T3 T2 T1 Pj(j = 1; :::4) G1 G2 G3 G4

1997

"... In PAGE 6: ... It should be emphasized how these crossover operators have di erent properties: the F - crossover and S-crossover operators show exploration, the M-crossover operators show exploitation and the L-crossover operator shows relaxed exploitation. Using the families of fuzzy connectives in the Table2 we can build four families of crossover operators. Each one of them shall be called the same as the related fuzzy connective family.... In PAGE 6: ...onnective family. Table 3 shows these. Gene Combination Functions Crossover Operators F1, S1, M1, L1 Logical F2, S2, M2, L2 Hamacher F3, S3, M3, L3 Algebraic F4, S4, M4, L4 Einstein Table 3. Set of crossover operators According to the property (P6) of the families of fuzzy connectives in Table2 , we can see that the degree, in which each crossover operator shows its related property, will depend on the fuzzy connective on which it is based. Thus, we dispose of Fj-crossover and Sj-crossover operators with di erent exploration levels; the F4-crossover and S4-crossover show the maximum exploration, whereas the F1-crossover and the S1-crossover represent the minimum exploration.... ..."

Cited by 27

### Table 2: Properties of implication functions in table 1.

2004

"... In PAGE 11: ... In particular in fuzzy control, however, often a t-norm is used to interpret the implication function. Table2 shows which implication function has which properties. Note that only the Lukasiewicz implication function satis es I0 I10.... ..."