Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/318370
Title: On Generalized Convergence and Related Concepts for Sequences of Fuzzy Numbers
Researcher: Kumar, Pankaj
Guide(s): Bhatia, S. S. and Kaushik, Vijay
Keywords: Fuzzy Number Squences
Mathematics
Statistical Convergence
University: Thapar Institute of Engineering and Technology
Completed Date: 2017
Abstract: The present thesis entitled On Generalized Convergence and related Concepts for Sequences of Fuzzy Numbers comprises certain investigations carried out by me at the School of Mathematics (SOM), Thapar University, Patiala, under the supervision of Dr. S. S. Bhatia, Professor, SOM and Dean of Academic Affairs, Thapar University, Patiala and Dr. Vijay Kaushik, Associate Professor, HCTM Technical Campus, Kaithal, Haryana. Modern analysis is mainly concerned in finding the limiting value of a sequence. H. Fast [45] provided the major breakthrough in the direction by generalizing the concept of ordinary convergence and called it statistical convergence. Fridy [49] accelerated developed of statistical convergence and presented statistical analogue of many concepts known in the theory of usual convergence. In recent years much attention has been paid to generalize the basic concepts of classical analysis in fuzzy setting and thus a modern theory of fuzzy analysis is developed. Theory of fuzzy numbers plays an important role in the development of fuzzy analysis. Consequently, in present thesis, we have made efforts to develop or extend certain generalized summablity methods to the sequences in fuzzy environment. The whole work in the thesis has been divided into six chapters. Chapter 1 is an introductory one in which we begin with notion of natural density and show how Fast used it to define statistical convergence. After making some remarks on the early development of statistical convergence, we give some interesting extensions of statistical convergence. Finally, in this chapter, we show that how the ideas of statistical convergence are extended to the sequences of fuzzy numbers. Further, a xvi xvii brief plan of the results presented in the subsequent chapters is given. In Chapter 2, the concept of statistical convergence has been extended to the sequences of fuzzy numbers having multiplicity greater than two and develop some of its basic structural properties.
Pagination: 149p.
URI: http://hdl.handle.net/10603/318370
Appears in Departments:School of Mathematics

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File39.02 kBAdobe PDFView/Open
02_certificate.pdf323.49 kBAdobe PDFView/Open
03_declaration.pdf207.58 kBAdobe PDFView/Open
04_dedication.pdf20.46 kBAdobe PDFView/Open
05_acknowledgements.pdf30.53 kBAdobe PDFView/Open
06_preface.pdf53.78 kBAdobe PDFView/Open
07_research publications.pdf56.37 kBAdobe PDFView/Open
08_list of symbols.pdf60.7 kBAdobe PDFView/Open
09_table of contents.pdf54.06 kBAdobe PDFView/Open
10_chapter 1.pdf163.3 kBAdobe PDFView/Open
11_chapter 2.pdf161.08 kBAdobe PDFView/Open
12_chapter 3.pdf149.85 kBAdobe PDFView/Open
13_chapter 4.pdf128.84 kBAdobe PDFView/Open
14_chapter 5.pdf132.96 kBAdobe PDFView/Open
15_chapter 6.pdf104.08 kBAdobe PDFView/Open
16_bibliography.pdf78.24 kBAdobe PDFView/Open
80_recommendation.pdf129.83 kBAdobe PDFView/Open
Show full item record


Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: