Fuzzy Information Approaches to Equipment Condition Monitoring and Diagnosis
... maximum functions [16]. For example, the framework of Dombi [17] is used in this work. ...
... maximum functions [16]. For example, the framework of Dombi [17] is used in this work. ...
A Fuzzy Ontology Extension of WordNet and EuroWordnet for
... when dealing with longer sets of hyponymic synsets or multiple word senses in each of the synsets. Prototype theory [18] provides an approach to account for such effects of prototypicality on categorization. Prototype theory is based on the fact that concepts are graded. They show different degrees ...
... when dealing with longer sets of hyponymic synsets or multiple word senses in each of the synsets. Prototype theory [18] provides an approach to account for such effects of prototypicality on categorization. Prototype theory is based on the fact that concepts are graded. They show different degrees ...
Concept Analysis Diagram
... Explanation of the Analysis Diagram for Communication Concept. The definition of the concept is written in the middle (circle) of the diagram. Nursing Practice is printed slightly above the rest of the Concept Diagram because it incorporates all aspects of the diagram prior to determining the care r ...
... Explanation of the Analysis Diagram for Communication Concept. The definition of the concept is written in the middle (circle) of the diagram. Nursing Practice is printed slightly above the rest of the Concept Diagram because it incorporates all aspects of the diagram prior to determining the care r ...
Robot Learning, Future of Robotics
... exact solution to the robot in the form of the error direction and magnitude • The user must know the exact desired behavior for each situation • Supervised learning involves training, which can be very slow; the user must supervise the system with ...
... exact solution to the robot in the form of the error direction and magnitude • The user must know the exact desired behavior for each situation • Supervised learning involves training, which can be very slow; the user must supervise the system with ...
A First Study of Fuzzy Cognitive Maps Learning Using Particle
... concepts. So, if two concepts Ci and Cj are negatively related, then the weight Wij ∈ [−1, 0], while if they are positively related, it takes values within [0, 1]. More strict constraints may be additionally posed on some weights, either by the experts, or by taking into consideration the conver- ...
... concepts. So, if two concepts Ci and Cj are negatively related, then the weight Wij ∈ [−1, 0], while if they are positively related, it takes values within [0, 1]. More strict constraints may be additionally posed on some weights, either by the experts, or by taking into consideration the conver- ...
a study of intelligent controllers application in distributed systems
... The performance of the controller is based on the utilization, success ratio by running simulation tests multiple times and averaging the results. The results between PI Controller, Open loop Fuzzy Logic PI Controller and Adaptive Fuzzy PI Controller (AFPIC) and compared. The convergence for the AFP ...
... The performance of the controller is based on the utilization, success ratio by running simulation tests multiple times and averaging the results. The results between PI Controller, Open loop Fuzzy Logic PI Controller and Adaptive Fuzzy PI Controller (AFPIC) and compared. The convergence for the AFP ...
cs344-midsem-with-sol
... 4. AI programs need to be stupid (to pass the Turing Test) 5. AI programs NECESSARILY will have stupidity 6. The s/w is intelligent, though the h/w is stupid 7. The level of AI machines now is that of NS humans! 8. Stupidity equated with lack of consistency. 9. Natural stupidity is in attempting to ...
... 4. AI programs need to be stupid (to pass the Turing Test) 5. AI programs NECESSARILY will have stupidity 6. The s/w is intelligent, though the h/w is stupid 7. The level of AI machines now is that of NS humans! 8. Stupidity equated with lack of consistency. 9. Natural stupidity is in attempting to ...
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IV-I Sem R15 Syllabus for for the Academic Year 2016
... The objectives of this course are to equip the student the fundamental knowledge of Management Science and its application to effective management of human resources, materials and operations of an organization. It also aims to expose the students about the latest and contemporary developments in th ...
... The objectives of this course are to equip the student the fundamental knowledge of Management Science and its application to effective management of human resources, materials and operations of an organization. It also aims to expose the students about the latest and contemporary developments in th ...
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... The objectives of this course are to equip the student the fundamental knowledge of Management Science and its application to effective management of human resources, materials and operations of an organization. It also aims to expose the students about the latest and contemporary developments in th ...
... The objectives of this course are to equip the student the fundamental knowledge of Management Science and its application to effective management of human resources, materials and operations of an organization. It also aims to expose the students about the latest and contemporary developments in th ...
Application of intelligent control systems
... traditional control models. Additionally, principles of construction PID controllers and their advantages and disadvantages over fuzzy systems are analyzed. Intelligent control systems and their appliance are revised for further usage in crane control system. Keywords – gantry crane, fuzzy inference ...
... traditional control models. Additionally, principles of construction PID controllers and their advantages and disadvantages over fuzzy systems are analyzed. Intelligent control systems and their appliance are revised for further usage in crane control system. Keywords – gantry crane, fuzzy inference ...
Uncertainty Handling for Sensor Location Estimation in Wireless
... than the range-based ones, they are more economical and provide simpler estimates. In a range-free proximity-based localization algorithm, introduced by Bulusu et al., the anchor nodes broadcast their positions within the network and each sensor node computes its position as a centroid of the positi ...
... than the range-based ones, they are more economical and provide simpler estimates. In a range-free proximity-based localization algorithm, introduced by Bulusu et al., the anchor nodes broadcast their positions within the network and each sensor node computes its position as a centroid of the positi ...
Research Article A Fuzzy Multicriteria Group Decision-Making Method with
... decision-making issues, this study proposed a novel formula to calculate the entropy of an IVIFS on the basis of the argument on the relationship among the entropies of IFSs given in [27, 30]. For interval-valued intuitionistic fuzzy multicriteria group decision-making problem, in which the informat ...
... decision-making issues, this study proposed a novel formula to calculate the entropy of an IVIFS on the basis of the argument on the relationship among the entropies of IFSs given in [27, 30]. For interval-valued intuitionistic fuzzy multicriteria group decision-making problem, in which the informat ...
A Genetic Fuzzy Approach for Rule Extraction for Rule
... αOPQRR S which means the given pattern xI cannot be classified by rule set S and is an unclassified pattern [4]. The value of the αOPQRR S can be considered as the confidence measure of assigning pattern xI to class h. The interval of αJ α J of the rule with maximum αJ 9xI ; defines the lo ...
... αOPQRR S which means the given pattern xI cannot be classified by rule set S and is an unclassified pattern [4]. The value of the αOPQRR S can be considered as the confidence measure of assigning pattern xI to class h. The interval of αJ α J of the rule with maximum αJ 9xI ; defines the lo ...
Does machine learning need fuzzy logic?
... often praised as being highly interpretable, also in mainstream ML. This might indeed be true as long as trees are sufficiently small. In real applications, however, accurate trees are often large, comprising hundred of nodes. Again, interpretability is highly compromised then. • When fuzzy sets are ...
... often praised as being highly interpretable, also in mainstream ML. This might indeed be true as long as trees are sufficiently small. In real applications, however, accurate trees are often large, comprising hundred of nodes. Again, interpretability is highly compromised then. • When fuzzy sets are ...
Self-constructing Fuzzy Neural Networks with Extended Kalman Filter
... generate a fuzzy neural network with a high accuracy Another TSK-type fuzzy system implemented with raand compact structure. The proposed algorithm dial basis function (RBF) neural networks, termed dycomprises of three parts: (1) Criteria of rule genera- namic fuzzy neural network (DFNN), has been p ...
... generate a fuzzy neural network with a high accuracy Another TSK-type fuzzy system implemented with raand compact structure. The proposed algorithm dial basis function (RBF) neural networks, termed dycomprises of three parts: (1) Criteria of rule genera- namic fuzzy neural network (DFNN), has been p ...
