A General Forward Reasoning Algorithm for Various Logic Systems with Different Formalizations

2008 ◽  
pp. 526-535 ◽  
Author(s):  
Yuichi Goto ◽  
Takahiro Koh ◽  
Jingde Cheng
Keyword(s):  
Forward Reasoning ◽  
Logic Systems ◽  
Reasoning Algorithm

Development of an Intelligent CAD System for Involute Cylindrical Gear Cutting Tools

2014 ◽  
Vol 532 ◽  
pp. 249-252
Author(s):  
Ying Hua Liao ◽  
Gao Jun Liu ◽  
Xiang Guo Sun
Keyword(s):  
Expert Knowledge ◽  
Cutting Tools ◽  
3D Models ◽  
Tool Design ◽  
Cylindrical Gear ◽  
Intelligent Cad ◽  
Forward Reasoning ◽  
Cad System ◽  
Gear Cutting ◽  
2D And 3D

An intelligent CAD system for Involute cylindrical gear cutting tools is developed by VC++ and SQL server, and it includes four modules, such as user interface, instance query, intelligent gear tool design and database. The intelligent gear tool design is the key to the intelligent CAD system, and it is based on the forward reasoning production system, and as the Intelligent reasoning technology is used for gear tool design, a lots of expert knowledge could be made full use of. The design results by the developed intelligent CAD system are more reasonable than those by a traditional CAD system, and the efficiency and quality of the gear tool design also could be improved. The developed intelligent CAD system supports both 2D and 3D models, which can lay foundation for CAD/CAE/CAM integration of gear cutting tools.

Design of back propagation optimized Nagar-Bardini structure-based interval type-2 fuzzy logic systems for fuzzy identification

2021 ◽  
pp. 014233122110066
Author(s):  
Yang Chen ◽  
Jiaxiu Yang
Keyword(s):  
Fuzzy Logic ◽  
Back Propagation ◽  
Membership Functions ◽  
Identification Problems ◽  
Fuzzy Logic Systems ◽  
Fuzzy Identification ◽  
Logic Systems ◽  
Academic Topic ◽  
Interval Type

In recent years, fuzzy identification based on system identification theory has become a hot academic topic. Interval type-2 fuzzy logic systems (IT2 FLSs) have become a rising technology. This paper designs a type of Nagar-Bardini (NB) structure-based singleton IT2 FLSs for fuzzy identification problems. The antecedents of primary membership functions of IT2 FLSs are chosen as Gaussian type-2 primary membership functions with uncertain standard deviations. Then, the back propagation algorithms are used to tune the parameters of IT2 FLSs according to the chain rule of derivation. Compared with the type-1 fuzzy logic systems, simulation studies show that the proposed IT2 FLSs can obtain better abilities of generalization for fuzzy identification problems.

Modeling the permeability of carbonate reservoir using type-2 fuzzy logic systems

2011 ◽  
Vol 62 (2) ◽  
pp. 147-163 ◽  
Author(s):  
Sunday Olusanya Olatunji ◽  
Ali Selamat ◽  
Abdulazeez Abdulraheem
Keyword(s):  
Fuzzy Logic ◽  
Carbonate Reservoir ◽  
Fuzzy Logic Systems ◽  
Logic Systems
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