Basic fuzzy logic circuit formed by using p-MOS current mirror circuits

1986 ◽  
Vol 69 (2) ◽  
pp. 1-9 ◽  
Author(s):  
Takeshi Yamakawa ◽  
Tsutomu Miki ◽  
Fumio Ueno
Keyword(s):  
Fuzzy Logic ◽  
Logic Circuit ◽  
Current Mirror ◽  
Basic Fuzzy Logic

Basic Fuzzy Logic is the logic of continuous t-norms and their residua

2000 ◽  
Vol 4 (2) ◽  
pp. 106-112 ◽  
Author(s):  
R. Cignoli ◽  
F. Esteva ◽  
L. Godo ◽  
A. Torrens
Keyword(s):  
Fuzzy Logic ◽  
Basic Fuzzy Logic

QoE Prediction for Multimedia Services

2015 ◽  
pp. 1784-1804
Author(s):  
Natalia Kushik ◽  
Jeevan Pokhrel ◽  
Nina Yevtushenko ◽  
Ana Cavalli ◽  
Wissam Mallouli
Keyword(s):  
Fuzzy Logic ◽  
Expert Systems ◽  
Logic Circuit ◽  
Experimental Results ◽  
Multimedia Service ◽  
Learning Approaches ◽  
Multimedia Services ◽  
Prediction Ability ◽  
Self Learning

This paper is devoted to the problem of evaluating the quality of experience (QoE) for a given multimedia service based on the values of service parameters such as QoS indicators. This paper proposes to compare two self learning approaches for predicting the QoE index, namely the approach based on logic circuit learning and the approach based on fuzzy logic expert systems. Experimental results for comparing these two approaches with respect to the prediction ability and the performance are provided.

The Quest for the Basic Fuzzy Logic

2014 ◽  
pp. 245-290 ◽  
Author(s):  
Petr Cintula ◽  
Rostislav Horčík ◽  
Carles Noguera
Keyword(s):  
Fuzzy Logic ◽  
Basic Fuzzy Logic

scholarly journals Basic fuzzy logic and BL-algebras

1998 ◽  
Vol 2 (3) ◽  
pp. 124-128 ◽  
Author(s):  
P. Hájek
Keyword(s):  
Fuzzy Logic ◽  
Basic Fuzzy Logic

FCM-Based Modeling of LMS Users' Quality of Interaction

2015 ◽  
pp. 388-420
Keyword(s):  
Fuzzy Logic ◽  
Management System ◽  
Cognitive Map ◽  
Experimental Results ◽  
Time Dependent ◽  
Fuzzy Cognitive Map ◽  
Educational Context ◽  
Learning Context ◽  
Basic Fuzzy Logic

Part III is concluded with this chapter that proposes a Fuzzy Cognitive Map (FCM)-based modeling of the Quality of Interaction (QoI) of the Learning Management System (LMS) users within a blended (b)-learning context, namely FCM-QoI model. Two training/testing scenarios were conducted and explored here, i.e., time-dependent and time-independent, using as pre-validated QoI data the ones presented in chapter 13. Moreover, a FCM-Viewer application that facilitates the visualization of the FCM-QoI model structure is also presented. The experimental results show that the proposed FCM-QoI model can provide concepts interconnection and causal dependencies representation of LMS users' interaction behavior. With this chapter, the circle around the basic fuzzy logic topics discussed in Part II, i.e., FIS, ANFIS, IFIS and FCM, injected into the educational context is fulfilled. Based on the models discussed so far, prospective hybrid modeling approaches are envisioned in the final section of the book (Part IV) that follows.

Modal operators on bounded commutative residuated ℓ-monoids

2007 ◽  
Vol 57 (4) ◽  
Author(s):  
Jiří Rachůnek ◽  
Dana Šalounová
Keyword(s):  
Fuzzy Logic ◽  
Residuated Lattice ◽  
Heyting Algebras ◽  
Modal Operator ◽  
Modal Operators ◽  
Special Cases ◽  
Basic Fuzzy Logic ◽  
Commutative Residuated Lattice ◽  
Derived Algebras ◽  
Mv Algebras

AbstractBounded commutative residuated lattice ordered monoids (Rℓ-monoids) are a common generalization of, e.g., Heyting algebras and BL-algebras, i.e., algebras of intuitionistic logic and basic fuzzy logic, respectively. Modal operators (special cases of closure operators) on Heyting algebras were studied in [MacNAB, D. S.: Modal operators on Heyting algebras, Algebra Universalis 12 (1981), 5–29] and on MV-algebras in [HARLENDEROVÁ,M.—RACHŮNEK, J.: Modal operators on MV-algebras, Math. Bohem. 131 (2006), 39–48]. In the paper we generalize the notion of a modal operator for general bounded commutative Rℓ-monoids and investigate their properties also for certain derived algebras.

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