
	Asian Journal of Mathematics & Statistics
	Year: 2018 \| Volume: 11 \| Issue: 1 \| Page No.: 1-11 DOI: 10.3923/ajms.2018.1.11

A New Approach to Randomized Response Model Using Fuzzy Numbers

Tanveer Ahmad Tarray

, Peer Bilal and Muzafar Rasool

Abstract: The crux of this study is to consider a randomized response model using allocation problem in presence of non-response based on model and minimize the variance subject to cost constraint. The costs (measurement costs and total budget of the survey) in the cost constraint are assumed as fuzzy numbers, in particular triangular and trapezoidal fuzzy numbers due to the ease of use. The problem formulated is solved by using Lagrange multipliers technique and the optimum allocation obtained in the form of fuzzy numbers is converted into crisp form using α-cut method at a prescribed value of α. Numerical illustrations are also given in support of the present study and the results are formulated through LINGO.

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How to cite this article:

Tanveer Ahmad Tarray, Peer Bilal and Muzafar Rasool, 2018. A New Approach to Randomized Response Model Using Fuzzy Numbers. Asian Journal of Mathematics & Statistics, 11: 1-11.

DOI: 10.3923/ajms.2018.1.11

URL: https://scialert.net/abstract/?doi=ajms.2018.1.11

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