Multi-agent System for Documents Retrieval and Evaluation Using Fuzzy Inference Systems

2015 ◽  
Vol 5 (4) ◽  
pp. 158
Author(s):  
Galina Ivanova ◽  
Ark Andreev ◽  
Marwa A. Shouman
Keyword(s):  
World Wide Web ◽  
Fuzzy Inference System ◽  
World Wide ◽  
Fuzzy Inference ◽  
System Development ◽  
Multi Agent System ◽  
Agent System ◽  
Inference System ◽  
The World ◽  
Multi Agent

Recently the World Wide Web are packed with huge quantities of information. From this view the user finds it difficult to get the relevant informations due to the increased of their quantities. This paper uses multi-agent system uses intelligent agent in order to retrieval documents from the World Wide Web. The user by this system can easily get the relevant documents which to need them.Multi-agent System is combined with fuzzy inference system for ranking documents. The documents ranking score by cosine similarity using fuzzy inference system development and implemented much simpler than the traditional method which require mathematical equations.

scholarly journals Fuzzy Algorithm for Power Transformer Diagnostics

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Nitin K. Dhote ◽  
Jagdish B. Helonde
Keyword(s):  
Gas Chromatography ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Power Transformer ◽  
Gas Analysis ◽  
Transformer Oil ◽  
Dissolved Gas ◽  
Inference System ◽  
Incipient Faults ◽  
The World

Dissolved gas analysis (DGA) of transformer oil has been one of the most reliable techniques to detect the incipient faults. Many conventional DGA methods have been developed to interpret DGA results obtained from gas chromatography. Although these methods are widely used in the world, they sometimes fail to diagnose, especially when DGA results fall outside conventional methods codes or when more than one fault exist in the transformer. To overcome these limitations, the fuzzy inference system (FIS) is proposed. Two hundred different cases are used to test the accuracy of various DGA methods in interpreting the transformer condition.

SWAMI

2009 ◽  
Vol 4 (3) ◽  
pp. 1-24
Author(s):  
Mark Kilfoil ◽  
Ali Ghorbani
Keyword(s):  
World Wide ◽  
Preliminary Evaluation ◽  
Multi Agent System ◽  
End User ◽  
Look Ahead ◽  
The World ◽  
Multi Agent ◽  
Active Nature ◽  
Intelligent Tools ◽  
The Web

The rapid growth of the World Wide Web has complicated the process of Web browsing by providing an overwhelming wealth of choices for the end user. To alleviate this burden, intelligent tools can do much of the drudge-work of looking ahead, searching and performing a preliminary evaluation of the end pages on the user’s behalf, anticipating the user’s needs and providing the user with more information with which to make fewer, more informed decisions. However, to accomplish this task, the tools need some form of representation of the interests of the user. This article describes the SWAMI system: SWAMI stands for Searching the Web with Agents having Mobility and Intelligence. SWAMI is a prototype that uses a multi-agent system to represent the interests of a user dynamically, and take advantage of the active nature of agents to provide a platform for look-ahead evaluation, page searching, and link swapping. The collection of agents is organized hierarchically according to the apparent interests of the user, which are discovered on-the-fly through multistage clustering. Results from initial testing show that such a system is able to follow the multiple changing interests of a user accurately, and that it is capable of acting fruitfully on these interests to provide a user with useful navigational suggestions.

scholarly journals Multi-Agent System Development Kit

2005 ◽  
pp. 69-78 ◽  
Author(s):  
Vladimir Gorodetski ◽  
Oleg Karsaev ◽  
Vladimir Samoilov ◽  
Victor Konushy ◽  
Evgeny Mankov ◽  
...  
Keyword(s):  
System Development ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent
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