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检索条件"任意字段=22nd International Conference on Logic Programming"

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Degree of normality based on fuzzy logic for a diagnostic analysis of signs observed in a human body 22

Degree of normality based on fuzzy logic for a diagnostic an...

引用

22nd international conference of the North-American-Fuzzy-Information-Processing-Society (NAFIPS)

作者： Hata, Y Ishikawa, O Kobashi, S Kondo, K Himeji Inst Technol Grad Sch Engn Div Comp Engn Himeji Hyogo 6712201 Japan

ISBN: (纸本)0780379187

This paper defines normality in human body for diagnostic analysis of signs observed in human body. The normality is a matter of degree. Physician usually examines whether a patient is either normal or abnormal. Diagnosis of human body is usually done by observing biosignals, radiological images, body surface information and others of human body. First, the information granularity of these signs of human body is shown. The normality is defined in the theory of hierarchical definability. According to the definition, a calculation method of the degree of normality is introduced Finally, the examples of the degree of normality are shown.

关键词： Biological system modeling Biology computing Focusing Fuzzy logic Humans Machine intelligence Machine vision Pulse measurements Pulse shaping methods Shape measurement

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Fuzzy-neuro system for bridge health monitoring 22

Fuzzy-neuro system for bridge health monitoring

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22nd international conference of the North-American-Fuzzy-Information-Processing-Society (NAFIPS)

作者： Meyyappan, L Jose, M Dagli, C Silva, P Pottinger, H Univ Missouri Smart Engn Syst Lab Dept Engn Management Rolla MO 65409 USA

ISBN: (纸本)0780379187

Many civil and mechanical systems are in continuous use despite aging and associated potential risk for damage accumulation. Hence, the ability to monitor the structural health of these systems on a real-time basis is becoming very important. This paper describes a practical real-time structural health monitoring system using soft computing tools and its application to the structural health monitoring of a steel bridge located in Missouri. Vibration data collected from this bridge was processed and fed to the fuzzy logic decision system. The fuzzy logic decision system makes use of fuzzy clustering to determine the possible presence of damage in the bridge. A neural network prediction system which makes use of backpropagation algorithm predicts the amount of actual damage in the members which were predicted damaged by the fuzzy logic.

关键词： Aging Bridges Fuzzy logic Fuzzy systems Mechanical systems Monitoring Neural networks Real time systems Steel Vibrations

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Cooperative cleaning for distributed autonomous robot systems using fuzzy cognitive maps 22

Cooperative cleaning for distributed autonomous robot system...

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22nd international conference of the North-American-Fuzzy-Information-Processing-Society (NAFIPS)

作者： Subramanian, H Dagli, CH Univ Missouri Smart Engn Struct Lab Rolla MO 65401 USA

ISBN: (纸本)0780379187

Cooperative Autonomous Cleaning is a simple challenge that can be implemented with the help of Fuzzy Cognitive Maps (FCM) by simulating the actual thinking process of the human. The human mind organizes its thoughts in priorities and this feature could be exploited well if a priori knowledge of the system exists. This technique has been attempted here for a DARS[1].

关键词： Cleaning Cognitive robotics Decision making Fuzzy cognitive maps Fuzzy logic Humans Laboratories Mobile robots Neural networks Robustness

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Multi-objective geometric programming with T-fuzzy variables 22

Multi-objective geometric programming with T-fuzzy variables

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22nd international conference of the North American Fuzzy Information Processing Society, NAFIPS 2003

作者： Cao, Bing-Yuan Department and Institute of Mathematics Shantou University ShantouGuangdong515063 China

ISBN: (纸本)0780379187

On the introduction of the definition and properties of the variables, T-fuzzy variables are drawn into a geometric programming model before a multi-objective geometric programming with the variables is built. The programming is determined on the condition that the variables are handled in a non-fuzzification way. Besides the programming is changed into an ordinary geometric programming dependent on the cone index J before a dual form is acquired corresponding to the primal posynomial geometric programming with T-fuzzy variables. Therefore lots of results concerning geometric programming can be completely transplanted. Based on this, the author first discuses a dual problem. Then he elicits the relation between the primal posynomial geometric programming with T-fuzzy variables and its dual form. Third he develops primal and dual algorithms to the programming. And final he verifies the model and algorithms through numerical examples. © 2003 IEEE.

关键词： Fuzzy set theory

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A new approach for quality control of sound speakers combining type-2 fuzzy logic and the fractal dimension 22

A new approach for quality control of sound speakers combini...

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22nd international conference of the North-American-Fuzzy-Information-Processing-Society (NAFIPS)

作者： Melin, P Castillo, O Tijuana Inst Technol Dept Comp Sci Tijuana Mexico

ISBN: (纸本)0780379187

We describe in this paper the application of type-2 fuzzy logic to the problem of automated quality control in sound speaker manufacturing. Traditional quality control has been done by manually checking the quality of sound after production. This manual checking of the speakers is time consuming and occasionally was the cause of error in quality evaluation. For this reason, we developed an intelligent system for automated quality control in sound speaker manufacturing. The intelligent system has a type-2 fuzzy rule base containing the knowledge of human experts in quality control. The parameters of the fuzzy system are tuned by applying neural networks using, as training data, a real time series of measured sounds as given by good sound speakers. We also use the fractal dimension as a measure of the complexity of the sound signal.

关键词： Fractals Fuzzy control Fuzzy logic Fuzzy systems Intelligent manufacturing systems Loudspeakers Manufacturing automation Production Pulp manufacturing Quality control

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Parameterized interval valued fuzzy expert systems for feasibility study of projects 22

Parameterized interval valued fuzzy expert systems for feasi...

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22nd international conference of the North-American-Fuzzy-Information-Processing-Society (NAFIPS)

作者： Zarandi, MHF Salehizadeh, A Amirkabir Univ Technol Dept Ind Engn Tehran Iran

ISBN: (纸本)0780379187

Fuzzy system models are enriched by interval valued sets' They can better represent the expert's knowledge and are more flexible and robust in decision-making. This paper addresses several parameterized models for combination of FDCF and FCCF, Fuzzy Conjunctive Canonical Form and Fuzzy Disjunctive Canonical Form. Then the optimal parameters are gained through an optimization method to assign the best membership functions for the variables of the system domain. The proposed expert system is implemented for feasibility study of the army projects. This system uses Schweizer and Sklar parametric operators for t-norm and s-norm and Yager parametric defuzzification method Moreover, for inference mechanism, FATI and FITA are combined with a linear parameter. The presented expert system shows its superiority in comparison with type I fuzzy set in flexibility, and robustness.

关键词： Decision making Expert systems Fuzzy logic Fuzzy sets Hybrid intelligent systems Industrial engineering Inference mechanisms Multivalued logic Optimization methods Robustness

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Fuzzy analysis of pharmaceutical effects in vascular dementia 22

Fuzzy analysis of pharmaceutical effects in vascular dementi...

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22nd international conference of the North-American-Fuzzy-Information-Processing-Society (NAFIPS)

作者： Duros, CC Univ Illinois Chicago Coll Med Dept Psychiat Chicago IL 60612 USA

ISBN: (纸本)0780379187

Large pharmaceutical trials are now underway to assess the effectiveness of cholinesterase drugs in slowing the cognitive decline in vascular dementia. Current trials use probability based statistics in which mean values of cognitive measures are compared between treatment and placebo groups. Several limitations exist in traditional drug study designs that impact patient selection criteria, preclude identification of potentially high efficacy subpopulations, and constrain the applicability of study results in treating the individual. We propose that fuzzy logic based mathematical methods can augment conventional methods of data analysis in pharmaceutical trials to overcome existing limitations and provide more effective treatment algorithms in drug therapy. To illustrate this possibility, we intend to analyze data from a group of patients with vascular dementia given cholinesterase drug therapy using both fuzzy and probability based methods.

关键词： Data analysis Dementia Drugs Educational institutions Fuzzy logic Medical treatment Pharmaceuticals Probability Psychiatry Statistics

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A new method for fuzzy inference in intuitionistic fuzzy systems 22

A new method for fuzzy inference in intuitionistic fuzzy sys...

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22nd international conference of the North-American-Fuzzy-Information-Processing-Society (NAFIPS)

作者： Castillo, O Melin, P Dept. of Computer Science Tijuana Institute of Technology Mexico

ISBN: (纸本)0780379187

We describe in this paper a proposed new approach for fuzzy inference in intuitionistic fuzzy systems. The new approach combines the outputs of two traditional fuzzy systems to obtain the final conclusion of the intuitionistic fuzzy system. The new method provides an efficient way of calculating the output of an intuitionistic fuzzy system, and as consequence can be applied to real-world problems in many areas of application. We illustrate the new approach with a simple example to motivate the ideas behind this work We also illustrate the new approach for fuzzy inference with a more complicated example of monitoring a non-linear dynamic plant.

关键词： Computer science Equations Face Fuzzy logic Fuzzy sets Fuzzy systems Humans Monitoring Testing Voting

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Intelligent control of the transmission power in cellular phones using fuzzy logic 22

Intelligent control of the transmission power in cellular ph...

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22nd international conference of the North-American-Fuzzy-Information-Processing-Society (NAFIPS)

作者： Melin, P Zamudio, E Castillo, O Tijuana Inst Technol Dept Comp Sci Tijuana Baja California Mexico

ISBN: (纸本)0780379187

In this paper is proposed a fuzzy control system for optimizing the transmission power in cellular phones. As the mobil station moves toward the edge of a cell, the cell's base station notes that the signal strength is diminishing. Meanwhile, the base station in the cell the mobil station is moving toward (which is listening and measuring signal strength on all frequencies, not just its own one) sees the phone's signal strength increasing. The two base stations coordinate with each other, and at some point, the phone gets a signal on a control channel telling it to change frequencies. This hand off switches the phone to a different cell, which receives the signal with a bigger intensity, so the next decrement of the transmission power will be the lower possible without risking the quality of the transmission. Nowadays the central cellular controls the transmission power on the mobil station, on intervals of 4 dbs to increase or decrease it, so the final power always is above or under the required power.

关键词： fuzzy control transmission power cellular phones

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A fuzzy adaptive algorithm for expertness based cooperative learning, application to herding problem 22

A fuzzy adaptive algorithm for expertness based cooperative ...

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22nd international conference of the North-American-Fuzzy-Information-Processing-Society (NAFIPS)

作者： Akbarzadeh-T, MR Rezaei-S, H Naghibi-S, MB Ferdowsi Univ Mashhad Dept Elect Engn Mashhad Iran

ISBN: (纸本)0780379187

Cooperative learning in multi-agent systems is generally expected to improve both quality and speed of learning. This is particularly true when agents are able to recognize expert agents amongst themselves and integrate their knowledge properly. Additionally, the process of learning can be improved when the reinforcement learning signals in each agent can balance between searching behavior of the unknown knowledge (exploration) and learning behavior of the obtained knowledge (exploitation). In this paper, a fuzzy dynamic cooperative learning method, based on weighted strategy sharing (WSS), is introduced which draws a balance between exploitation and exploration behaviors. In the weighed strategy sharing method, agents share their learned knowledge by a measure of their expertness. The strategy, when applied to the classic herding problem, shows further improvement in quality and speed of learning when parameters of the learning algorithm are dynamically determined by a fuzzy routine.

关键词： reinforcement learning cooperative learning fuzzy logic herding problem

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