Results 31 to 40 of about 643 (175)

New Insights into Fuzzy Genetic Algorithms for Optimization Problems

Algorithms
In this paper, we shed light on the use of two types of fuzzy genetic algorithms, which stand out from the literature due to the innovative ideas behind them.
Oleksandr Syzonov, Stefania Tomasiello, Nicola Capuano   +2 more
doaj   +1 more source

OR/AND Neurons for Fuzzy Set Connectives Using Ordinal Sums and Genetic Algorithms

, 2006
The paper introduces a generalization of the fuzzy logic connectives AND and OR. To define the logical connectives different t-norms and t-conorms are used. To generalize the t-norms (t-conorms) the Ordinal Sums are introduced.
CIARAMELLA, Angelo, Angelo Ciaramella, Roberto Tagliaferri, R. TAGLIAFERRI, Witold Pedrycz, W. PEDRYCZ, TAGLIAFERRI, Roberto   +6 more
core   +1 more source

Implication operators in fuzzy logic

, 2002
The choice of fuzzy implication as well as other connectives is an important problem in the theoretical development of fuzzy logic, and at the same time, it is significant for the performance of the systems in which fuzzy logic technique is employed ...
Ying, M
core   +1 more source

A spectrum of compromise aggregation operators for multi-attribute decision making.

, 2006
In many decision making problems, a number of independent attributes or criteria are often used to individually rate an alternative from an agent’s local perspective and then these individual ratings are combined to produce an overall assessment. Now, in
Luo, X., Jennings, N. R., Nicholas R. Jennings, Jennings, Nicholas R., Xudong Luo, Luo, X, Jennings, NR, Luo, Xudong, Jennings, N   +8 more
core   +1 more source

On the scope of some formulas defining additive connectives in fuzzy logics [PDF]

, 2018
In (Fuzzy Sets and Systems 149 (2005) 297) Wang et al. defined a new fuzzy logic called NMG. They also introduced new formulas to define the additive connectives from multiplicative conjunction, residuated implication and bottom in NMG. However, they did
García-Cerdaña, Àngel, Noguera, Carles, Esteva, Francesc   +2 more
core   +2 more sources

Fuzzy Inductive Logic Programming: Learning Fuzzy Rules with their Implication

, 2005
Inductive logic programming (ILP) is a generic tool aiming at learning rules from relational databases. Introducing fuzzy sets arid fuzzy implication connectives in this framework allows us to increase the expressive power of the induced rules while ...
Prade, Henri, Dubois, D., Serruier, M., Prade, H., Serrurier, Mathieu, Dubois, Didier, Sudkamp, Thomas   +6 more
core   +1 more source

A Systematic Study on Distributivity of Threshold-Generated Implications over Uninorms

Axioms
The distributivity of implications over fuzzy operators is a desirable property for fuzzy systems and can be employed in the elimination of the explosion of if–then rules.
Zhihong Yi
doaj   +1 more source

Set Mapping in the Method of Imprecision [PDF]

, 2003
The Method of Imprecision, or MoI, is a semi-automated set-based approach which uses mathematics of fuzzy sets to aid the designer making decisions with imprecise information in the preliminary design stage.
Wang, Xiaoou
core   +1 more source

Element-Based Construction Methods for Uninorms on Bounded Lattices

Axioms
Uninorms are aggregation operators that generalize the t-norms (t-conorms), which are extensions of the logical connectives ∧(∨) to the fuzzy set theory.
Ümit Ertuğrul, Merve Yeşilyurt, Radko Mesiar   +2 more
doaj   +1 more source

On Fuzzy Implication Functions Based on Admissible Orders on the Set of Discrete Fuzzy Numbers

International Journal of Computational Intelligence Systems
Research on the construction of logical connectives using total (admissible) orders is a prolific area of study. Using such orders, a new method for constructing implication functions is defined on the set of discrete fuzzy numbers with support of a ...
Manuel González-Hidalgo, Sebastia Massanet, Arnau Mir, Juan Vicente Riera, Laura De Miguel   +4 more
doaj   +1 more source