1. Shodhganga@INFLIBNET
  2. Thapar Institute of Engineering and Technology
  3. School of Mathematics
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/554856
Title: Efficient Methods to Find Maximal and Minimal Fuzzy Solution of System of Fuzzy Linear Equations and Its Variants
Researcher: Kaur, Jeevan Jot
Guide(s): Kumar, Amit
Keywords: Fuzzy mathematics
Mathematics
Mathematics Interdisciplinary Applications
Physical Sciences
University: Thapar Institute of Engineering and Technology
Completed Date: 2017
Abstract: In this thesis, limitations as well as flaws of all the existing methods to find maximal and minimal fuzzy solution of the system of fuzzy linear equations and its variants are pointed out. Furthermore, to overcome the limitations as well as to resolve the flaws of the existing methods, new methods (named as Mehar-Keerat methods) are proposed to find the maximal and minimal fuzzy solution of the system of fuzzy linear equations and its variants. newline
Pagination: xi, 189p.
URI: http://hdl.handle.net/10603/554856
Appears in Departments:School of Mathematics

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01_title.pdfAttached File166.88 kBAdobe PDFView/Open
02_prelim pages.pdf1.18 MBAdobe PDFView/Open
03_content.pdf142.84 kBAdobe PDFView/Open
04_abstract.pdf175.98 kBAdobe PDFView/Open
05_chapter 1.pdf164.92 kBAdobe PDFView/Open
06_chapter 2.pdf338.04 kBAdobe PDFView/Open
07_chapter 3.pdf285.73 kBAdobe PDFView/Open
08_chapter 4.pdf332.04 kBAdobe PDFView/Open
09_chapter 5.pdf432.66 kBAdobe PDFView/Open
10_chapter 6.pdf536.64 kBAdobe PDFView/Open
11_annexure.pdf417.78 kBAdobe PDFView/Open
80_recommendation.pdf702.39 kBAdobe PDFView/Open
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