Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/207753
Title: Decision Fusion using Interval Type 2 Fuzzy Logic for Situation Assessment
Researcher: Lakshmi Shrinivasan
Guide(s): Raol J R
Keywords: Fuzzy Logic
University: Jain University
Completed Date: 08/06/2018
Abstract: Eliminating mishaps due to human error is a primary focus of the avionics industry. Air-Lane monitoring and aircraft pair formation are critical to avert occurrences of such mishaps and is achieved using machine learning techniques. Fuzzy logic is one such technique, which incorporates human knowledge for decision making for situation assessment with ease. Decision making capabilities of type-1 systems are effected when uncertainties or noise are present in the input data. newline
Pagination: 81p.
URI: http://hdl.handle.net/10603/207753
Appears in Departments:Department of Electronics Engineering

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01.title page.pdfAttached File19.45 kBAdobe PDFView/Open
02.declaration.pdf114.41 kBAdobe PDFView/Open
03.certificate.pdf114.2 kBAdobe PDFView/Open
04.abstract.pdf406.52 kBAdobe PDFView/Open
05.acknowledgement.pdf113.38 kBAdobe PDFView/Open
06.contents.pdf235.78 kBAdobe PDFView/Open
07.list of figures & tables.pdf418.75 kBAdobe PDFView/Open
08.chapter 1.pdf339.95 kBAdobe PDFView/Open
09.chapter 2.pdf921.99 kBAdobe PDFView/Open
10.chapter 3.pdf934.32 kBAdobe PDFView/Open
11.chapter 4.pdf884.74 kBAdobe PDFView/Open
12.chapter 5.pdf691.69 kBAdobe PDFView/Open
13.chapter 6.pdf230.32 kBAdobe PDFView/Open
14.bibliography.pdf243.38 kBAdobe PDFView/Open


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