Fuzzy Inference System
Optimization of Tsukamoto Fuzzy Inference System using Fuzzy Grid Partition
... Tsukamoto fuzzy inference ...Tsukamoto Fuzzy Inference ...the Fuzzy Grid Partition in correcting the limitation of Tsukamoto Fuzzy Inference ...Tsukamoto Fuzzy ...
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The Design of the Fuzzy Inference System for the Determination of Attention
... the Fuzzy Inference System that determines the level of concentration obtained from the response speed and the number of errors, in order to assess the system checking the level of ...
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Fuzzy Inference System for Edge Detection in Flat Electroencephalography Image
... the clusters. However, one of the clusters appears in brighter intensity than the other one. It shows that the morphological operator managed to identify the clusters but in different level of brightness. Meanwhile, ...
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Load Balancing Using Fuzzy Inference System in Distributed Computing
... Distributed System is a technique which allows using large number of resources where it is possible to access the resources from anywhere and ...a system of distributed load balancing using fuzzy ...
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On the Capability of a Fuzzy Inference System with Improved Interpretability
... In this paper, we will propose a fuzzy inference system with interpretability. Firstly, it is proved that the proposed model is a universal approximator of continuous functions. Further, the ...
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Modelling the formation of Ozone in the air by using Adaptive Neuro-Fuzzy Inference System (ANFIS) (Case study: city of Yazd, Iran)
... neuro-fuzzy inference system (ANFIS) is appropriate and, due to the expansion of the city of Yazd in the not too distant future, it is necessary to pay more attention to the permissible threshold ...
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Weighted Mamdani-type Fuzzy Inference System Based on Relative Ideal Preference System
... the fuzzy IF-THEN rules in a Fuzzy Inference System based on human intuition or expert judgment, known as the Relative Ideal Preference Scheme ...available fuzzy IF-THEN rules in the ...
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A Comprehensive Study on Fuzzy Inference System and its Application in the field of Engineering
... assessments, fuzzy logic has been applied and a new ranking method on the basis of fuzzy inference system (FIS) is proposed for supplier selection problem (Atefeh Amindoust et ...A ...
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Fuzzy Inference System for an Integrated Knowledge Management System
... management system for natural resource management needs to take local indigenous knowledge as one of its components for achieving ...The system of indigenous or local ecological knowledge on natural ...
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Image Enhancement using Hybrid Fuzzy Inference System (IEHFS)
... hybrid Fuzzy inference system is applied by taking a movable window over the image of 5 x 5 size, where the pixels around the center pixel are named according to the direction to identify ...the ...
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Survey of fuzzy inference model and impact on QOS parameters using adaptive neuro fuzzy inference system in MANET
... MANET is a mobile adhoc network where every node joins and leaves a network. The proposed method ensures scalability of the adhoc network and provides Optimized QoS parameters. By using fuzzy Inference ...
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A sugeno and tsukamoto fuzzy inference system for denoising medical images
... type fuzzy inference system for noise filtering in medical images is ...proposed system consist of two fuzzy filters and a post processor The proposed method is suitable for various ...
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Fuzzy Inference System for Productivity and Fertility of Soil
... As soil fertility represents crop productivity and soil productivity suitable for crop choice, fertilizer requirement to fulfill its deficiency hence MIMO system is a necessity of current design. Same model gives ...
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MODIFICATION OF FUZZY LOGIC RULE BASE IN THE OPTIMIZATION OF TRAFFIC LIGHT CONTROL SYSTEM
... control system in the management of the increased traffic congestion that is always experience in urban ...control system has proven more efficient as compared to the static phase scheduling traffic control ...
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TRANSIT-ORIENTED DEVELOPMENT IN IRAN CHALLENGES AND SOLUTIONS
... defined by the distances to the central business district (CBD). Identifying activity centers based on one criterion is inadequate because a specific activity is usually related to multiple characteristics. For example, ...
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Deduction of reservoir operating rules for application in global hydrological models
... derive fuzzy rules describing the way a reservoir is ...icking fuzzy logic, called the ANFIS adaptive-network-based fuzzy inference system, fuzzy rules linking inflow and stor- ...
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Highly nonlinear control of a solar thermal power plant using soft computing fuzzy tuning techniques
... Sugeno-type fuzzy incremental controller was tuned using an ANFIS (Adaptive Neural Fuzzy Inference System) to optimise the fuzzy controller’s pre-clustered input membership functions, ...
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A neuro-fuzzy approach to the reliable recognition of electric earthquake precursors
... intrinsic fuzzy logic abilities, ...a fuzzy in- ference ...the fuzzy in- ference system. The Adaptive Neuro-Fuzzy Inference Sys- tem (ANFIS) algorithm (Jang et ...a fuzzy ...
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Trust Management in Partially Decentralized Peer To Peer File Sharing System
... a fuzzy inference system to design P2P reputation based trust management system for partially decentralized ...The inference system takes the fuzzy voted values from the ...
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A Recommender System for Web Mining using Neural Network and Fuzzy Algorithm
... using fuzzy –neural ...using fuzzy clustering method. Then, by using fuzzy inference system, fuzzy rules based on related clusters and user’s interests are extracted and after ...
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