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This paper explains that fuzzy logic, with its pre-set "more or less" statements, can handle commands beyond the simple binary set to which traditional computers are limited thus setting it apart from other artificial intelligence (AI) technologies. The paper describes the use of fuzzy logic programming for products for everyday uses such as washing machines, health care, computer crimes solving, telecommunications and the workplace. However, the paper gives examples, which indicate that, despite the potential uses and benefits of fuzzy logic implementation, there are many things it cannot do.
From the Paper:"The use of fuzzy logic in TMNs provides many benefits for both the customers and the telecommunications companies. System analysis of customers' needs and desires allows for a faster, more uniform, and more efficient response. This, in turn, allows carriers to meet customers' needs more cheaply than with a traditional TMN, giving the carrier an edge over its competitors . Not running an adaptive platform will force some companies out of business; therefore, once fuzzy logic use takes hold in the telecom industry, it will transform the industry entirely."
Sample of Sources Used:
- Bartos, Frank J. "Motion Control Tunes Into AI Methods." Control Engineering. May 1999: 61. WilsonSelect. Online database. OCLC FirstSearch. Sep. 2000.
- Hansen, Mark D. "Artificial Intelligence: The Computers Are Coming!" Professional Safety. June 1998: 24. WilsonSelect. Online database. OCLC FirstSearch. Sep. 2000.
- "Introduction to Fuzzy Logic." Center for Fuzzy Logic, Robotics and Intelligence Systems. 15 May 1997. Texas A&M University Department of Computer Science. Oct. 2000. <http://cs.tamu.edu/research/CFL/fuzzy.html>
- Lee, Jonathaun. "A Mind Of Its Own." Telephony. 26 Jan. 1998: 62. WilsonSelect. Online database. OCLC FirstSearch. Sep. 2000.
- Pease, Robert A. "What's All This Fuzzy Logic Stuff, Anyhow?" Electronic Design. 4 Aug. 1997: 9-10. WilsonSelect. Online database. OCLC FirstSearch. Sep. 2000.
Cite this Term Paper:
Fuzzy Logic (2010, April 12) Retrieved July 11, 2020, from https://www.academon.com/term-paper/fuzzy-logic-119228/
"Fuzzy Logic" 12 April 2010. Web. 11 July. 2020. <https://www.academon.com/term-paper/fuzzy-logic-119228/>