Neutrosophic-Grey Analytic Hierarchy Process (NG-AHP) data and analysis

Published: 15-03-2020| Version 1 | DOI: 10.17632/8d6s67bgcw.1
Contributor:
Amin Vafadarnikjoo

Description

The available data, and analysis pertain to the article titled "A hybrid neutrosophic-grey analytic hierarchy process method: decision-making modelling in uncertain environments". The proposed NG-AHP method is applied in agility evaluations in the Iranian steel industry. Five agility evaluation criteria are considered as assessment criteria, and are applied to four steel companies. Based on the data collected from the six experts or decision makers (DMs), the aim is to find out the most significant agility criteria. Then, the steel companies are ranked in terms of agility readiness criteria. Four steel manufacturing companies are explored in this study, and their names are anonymised as SC1, SC2, SC3, and SC4. Thus, the decision problem involves four alternatives (SC1, SC2, SC3, and SC4), and five criteria (C1, C2, C3, C4, C5). The descriptions of provided files are as follows: 1. The grey-AHP (G-AHP) method application steps using the proposed rating scale is demonstrated in the provided MS Excel file (i.e.G-AHP Computations.xlsx). 2. The neutrosophic-AHP (N-AHP) method application steps using the proposed rating scale is demonstrated in the provided MS Excel file (i.e.N-AHP Computations.xlsx). 3. The aggregated NG-AHP, final weights calculations, and ranking are illustrated in the provided MS Excel file (i.e.NG-AHP Computations.xlsx). 4. The aggregation computations by Trapezoidal Neutrosophic Weighted Arithmetic Averaging (TNWAA) is shown in the provided MS Excel file.

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