What is knowledge? § is a theoretical or practical understanding of a subject or a domain. § is also the sim of what is currently known, and apparently knowledge is power. Those who possess knowledge are called experts. § Anyone can be considered a domain expert if he or she has deep knowledge and strong practical experience in a particular domain. § The human mental process is internal, and it is too complex to be represented as an algorithm § However, most experts are capable of expressing their knowledge in the form of rules for problem solving.

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Rule‐Based Expert Systems

In this paper, different measures of interval-valued pentagonal fuzzy numbers (IVPFN) associated with assorted membership functions (MF) were explored, considering significant exposure of multifarious interval-valued fuzzy numbers in neoteric studies. Also, the idea of MF is generalized somewhat to nonlinear membership functions for viewing the symmetries and asymmetries of the pentagonal fuzzy structures. Accordingly, the construction of level sets, for each case of linear and nonlinear MF was also carried out. Besides, defuzzification was undertaken using three methods and a ranking method, which were also the main features of this framework. The developed intellects were implemented in a game problem by taking the parameters as PFNs, ultimately resulting in a new direction for modeling real world problems and to comprehend the uncertainty of the parameters more precisely in the evaluation process.

The Pentagonal Fuzzy Number:Its Different Representations, Properties, Ranking, Defuzzification and Application in Game Problems

Although many studies exist on mobile robot path planning, the disadvantages of complex algorithms and many path nodes in logistics warehouses and manufacturing workshops are obvious, mainly due to the inconsistency of map environment construction and pathfinding strategies In this study, to improve the efficiency of mobile robot path planning, the Delaunay triangulation algorithm was used to process complex obstacles and generate Voronoi points as pathfinding priority nodes The concept of the grid was used to extract obstacle edges to provide obstacle avoidance strategies for robot pathfinding Subsequently, the search for priority and regular path nodes used the improved A-star (A*) algorithm The dynamic fusion pathfinding algorithm (DFPA), based on Delaunay triangulation and improved A*, was designed, which realizes the path planning of mobile robots MATLAB 2016a was used as the simulation software, to firstly verify the correctness of the DFPA, and then to compare the algorithm with other methods The results show that under the experimental environment with the same start point, goal point, and number of obstacles, the map construction method and pathfinding strategy proposed in this paper reduce the planned path length of the mobile robot, the number of path nodes, and the cost of overall turn consumption, and increase the success rate of obtaining a path The new dynamic map construction method and pathfinding strategy have important reference significance for processing chaotic maps, promoting intelligent navigation, and site selection planning

/pdf/a-dynamic-fusion-pathfinding-algorithm-using-delaunay-jtw7y3jwvk.pdf

A Dynamic Fusion Pathfinding Algorithm Using Delaunay Triangulation and Improved A-Star for Mobile Robots

In this study, we numerically investigate static and free vibration responses of functionally graded (FG) porous plates with graphene platelets (GPLs) reinforcement using an efficient polygonal finite element method (PFEM). While the bending strain field is approximated through quadratic serendipity shape functions, the shear strain field is calculated by employing Wachspress basis functions. In order to eliminate the shear locking phenomenon, Timoshenko's beam theory is utilized to determine assumed strain fields on each side of polygonal domain. The present formulation possesses various outstanding features: (a) is valid for triangular, quadrilateral and polygonal elements; (b) can conveniently implement various different plate theories via choosing appropriate transverse shear function; (c) eliminates the shear locking phenomenon; (d) does not increase degrees of freedom (DOFs) per polygonal element despite employing the quadratic serendipity shape functions and (e) obtains more accurate and stable results than those of other PFEMs. Various dispersions of internal pores as well as GPLs into metal matrix through the thickness of plate are examined. The effective material properties varying across the plate's thickness can be estimated by Halpin-Tsai model for Young's modulus and the rule of a mixture for Poisson's ratio and mass density. The effect of several important parameters such as porosity coefficient, weight fraction and dimensions of GPLs, distribution of porosity and GPLs into metal matrix are thoroughly investigated via various numerical examples.

A novel computational approach to functionally graded porous plates with graphene platelets reinforcement

This paper discusses the design of fuzzy control systems (FCSs) with a reduced parametric sensitivity using simulated-annealing (SA) algorithms. Four generic families of objective functions expressed as integral quadratic performance indexes, which depend on the control error and squared output sensitivity functions, are suggested. SA algorithms are employed to minimize the objective functions in the appropriately defined optimization problems. A design method for Takagi-Sugeno proportional-integral fuzzy controllers (PI-FCs) is proposed. The resulting PI-FCs are intended for a class of plants characterized by second-order linearized models with integral component. A case study dealing with the angular position control of a dc servo system is used as test bed to validate the proposed new controller design. Experimental results illustrate the FCS performance.

Fuzzy Control Systems With Reduced Parametric Sensitivity Based on Simulated Annealing

This paper is written to aid the readers to understand application of Euler angles and quaternion in representing rotation of a body in 3-dimensional Euclidean space,3ℜ. Application of quaternion would later require conversion of the quaternion to Euler angles. This is to enable quaternion to be compatible with other applications which use Euler rotation sequence to represent rotation. Thus, a framework to convert a quaternion, which is produced from a random rotation sequence to Euler angles with any specified rotation sequence is proposed and demonstrated here, to aid practitioners to use quaternion in their applications. This will also enable quaternion to be applied in arbitrary sequence onto applications developed using certain rotation sequence of Euler angles. Finally, a program is developed using Matlab-simulink software to demonstrate application of quaternion in maneuvering orientation of a missile flying in 3D space. Six degree of freedom (6DoF) block, which employs Euler rotation sequence of XYZ, is used to aid users to graphically see the maneuvering of the missile’s orientation as it flies in 3-dimensional Euclidean space. Quaternion, which is produced from random rotation sequence keyed in by the user, is converted to Euler angles with rotation sequence XYZ by using the proposed method. Keywords:

Quaternion and Its Application in Rotation Using Sets of Regions

New approaches for Delaunay triangulation and optimisation

Optimization of fuzzy controller for minimum time response

A new integrated fuzzy bang–bang relay control system

Analysis of thin plates with holes by using exact geometrical representation within XFEM.

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