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title

Multi-Input Fuzzy Min/Max Circuits Based on Carbon Nanotube FETs

Credit to Download: 1 | Page Numbers 6 | Abstract Views: 113
Year: 2018
COI code: IDS03_064
Paper Language: English

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Authors Multi-Input Fuzzy Min/Max Circuits Based on Carbon Nanotube FETs

  Ali Bozorgmehr - Department of Electrical Engineering, Shahid Beheshti University, G. C., Tehran, Iran
  Mohammad Hossein Moaiyeri - Department of Electrical Engineering, Shahid Beheshti University, G. C., Tehran, Iran
  Keivan Navi - Department of Electrical Engineering, Shahid Beheshti University, G. C., Tehran, Iran

Abstract:

In this paper, we propose a new nanoscale MIN/MAX structure for fuzzy applications based on carbon nanotubes FETs. Most of the fuzzy rules are more than 2 which lead us to design a multiple input MIN/MAX. Scaling of CMOS technology has led to problems that lead to the use of emerging technologies such as CNTFET. In the proposed design we reduce delays and number of elements when we use cascaded architecture in case of multiple rules or inputs

Keywords:

Fuzzy circuits, Min-Max, Voltage Mode, Fuzzy System, Nanotechnology, Carbon Nanotube Field Effect Transistor (CNFET)

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COI code: IDS03_064

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Bozorgmehr, Ali; Mohammad Hossein Moaiyeri & Keivan Navi, 2018, Multi-Input Fuzzy Min/Max Circuits Based on Carbon Nanotube FETs, The Third International Conference on Intelligent Decision Science, تهران, انجمن سيستم هاي فازي ايران - دانشگاه آزاداسلامي واحد علوم تحقيقات, https://www.civilica.com/Paper-IDS03-IDS03_064.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Bozorgmehr, Ali; Mohammad Hossein Moaiyeri & Keivan Navi, 2018)
Second and more: (Bozorgmehr; Moaiyeri & Navi, 2018)
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Type: state university
Paper No.: 16946
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