SCIRP Mobile Website
Paper Submission

Why Us? >>

  • - Open Access
  • - Peer-reviewed
  • - Rapid publication
  • - Lifetime hosting
  • - Free indexing service
  • - Free promotion service
  • - More citations
  • - Search engine friendly

Free SCIRP Newsletters>>

Add your e-mail address to receive free newsletters from SCIRP.

 

Contact Us >>

WhatsApp  +86 18163351462(WhatsApp)
   
Paper Publishing WeChat
Book Publishing WeChat
(or Email:book@scirp.org)

Article citations

More>>

Sugeno, M. and Kang, G.T. (1986) Fuzzy Modeling and Control of Multilayer Incinerator. Fuzzy Sets and Systems, 18, 329-346.
http://dx.doi.org/10.1016/0165-0114(86)90010-2

has been cited by the following article:

  • TITLE: Soft Computing: Fuzzy Logic Approach in Wireless Sensors Networks

    AUTHORS: M. Vinoth Kumar, Dr. T. Lalitha

    KEYWORDS: Embedded Fuzzy Logic, Data Fusion, Clusterization, Aggregation, Fuzzy Distributed Knowledge Base, Sensor

    JOURNAL NAME: Circuits and Systems, Vol.7 No.8, June 7, 2016

    ABSTRACT: The recent growth of communication and sensor technology results in the enlargement of a new attractive and challenging area-wireless sensor networks (WSNs). A network comprising of several minute wireless sensor nodes which are organized in a dense manner is called as a Wireless Sensor Network (WSN). Every node estimates the state of its surroundings in this network. The estimated results are then converted into the signal form in order to determine the features related to this technique after the processing of the signals. It’s high computational environment with limited and controlled broadcast range, processing, as well as limited energy. The embedded soft computing approach in wireless sensor networks is suggested. This approach means a grouping of embedded fuzzy logic and neural networks models for information processing in complex environment with unsure, rough, fuzzy measuring data. It is generalization of soft computing concept for the embedded, distributed, adaptive systems.