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** Authors are invited to submit manuscripts for December 2019 issue.

** November 2019 issue of AARF Journals is officially released.

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1
  • ANALYSIS OF RELATIONSHIP BETWEEN CRITERIA FOR SELECTION OF TOYS AND DEMOGRAPHIC PROFILE


Salma Shaheen

Abstract:
There is cut throat competition among toy designers, manufacturers and marketers in the Indian toy industry these days. In order to survive in the highly competitive toy market and to make their presence felt, it is important to consider the needs of customers in designing the toys.


1-7
2
  • EXPANSION FORMULAE INVOLVING A-FUNCTION


Kamal Kishore, Dr. S. S. Srivastava

Abstract:
In this paper, we establish some new some new expansion formulae involving A-function of two variables.


8-12
3
  • SUCCESSIVE OCCURRENCE OF DIGIT 0 IN ALL BASE b NATURAL NUMBERS LESS THAN bn


Neeraj Anant Pande

Abstract:
General base b positive integers from 1 to one less than bn, for any positive integer n, are under consideration. 0 as significant digit is analyzed for its presence within natural numbers in the range, the count of its single and multiple occurrences and the first and last numbers for its appearances, formulae are derived for each of these.


13-21
4
  • A STUDY OF STRENGTH-RELIABILITY FOR SHUSHILA DISTRIBUTED STRESS


Surinder Kumar & Ajay Kumar

Abstract:
This paper is a study of stress-strength reliability of the distributionsof manufacturing items through establishing the relationship among their parameters, here, Stress follows Shushila distribution. The obtained results are further used to get the optimum cost when the cost function is linear in terms of parameters.


22-28
5
  • SKOLEM DIFFERENCE FIBONACCI MEAN LABELLING OF SOME SPECIAL CLASS OF TREES


L. Meenakshi Sundaram, A. Nagarajan

Abstract:
The concept of Skolem difference mean labelling was introduced by K. Murugan and A. Subramanian[2]. The concept of Fibonacci labelling was introduced by David W. Bange and Anthony E. Barkauskas[1] in the form Fibonacci graceful.


29-42
6
  • ANALYSIS OF SOIL FERTILITY FOR WHEAT CROP: A ROUGH SET BASED MODEL


Pragati Jain, Deepensha Vaishnav

Abstract:
Rough Set Theory is an emerging mathematical tool that deals with the Knowledge Discovery, Pattern Recognition and Data Mining. The attribute reduction of the theory relies upon the discernibility matrix. Soil fertility is the major factor which contributes in yielding optimum crop production and therefore proper knowledge of the nutritional values required by soil is important.


43-56
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