<p>In this paper, a multi-criteria decision-making (MCDM) problem has been considered in an IOT based enterprise for employee selection. An MCDM problem mainly focuses on the selection procedure for an alternative with respect to its different attributes. Basically, an appropriate selection of an alternative depends on the nature of the values of attributes. Generally, there may be different types of attributes such as benefit type, cost type. Also it would be qualitative type or quantitative type. Now, a selection process may be complicated, provided that there exist the attribute of qualitative nature. In this case, the precision for selection would be less because of improper representation of the qualitative data. In this respect, the study of an IOT based selection problem is very much important because most of its attributes are of qualitative nature. So, in this paper, our two main objectives are (<i>i</i>) to represent the attributes in a proper way. In this regard, we have considered singlevalued neutrosophic concept and the second is to develop an algorithm. In this regard, firstly, a Parametric de-neutrosophic function has been formulated to transform nutrosophic value into some solvable form, and then, we have introduced the Standard level point in order to reduce the biasness due to selection process. (<i>ii</i>) Also, an aggregation operator, named as Estimated mean operator has been conducted for assembling the diverse opinions of the decision experts based on the concept of central tendency. Finally, a case study has been done in an IOT based enterprise to show the applicability and validity of our proposed algorithm.</p>