Importance index uses the formulae below to determine

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importance index uses the formulae below to determine the RII value of each factor and rank them according to their values where the largest number represents the most important factor. RII = W A N where, ' W ' is the weighting of each factor by the respondents (ranging from 1 to 5 or 7), ' A ' is the highest weight (5 or 7 in the study), and N is the total number of respondents (Megha and Rajiv 2013, p. 397) The analytic hierarchy process is an Eigenvalue approach to the pairwise assessments and derives a numerical proportion or primacy for every element of the hierarchy, allowing different
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and non-comparable attributes to be equated to each other on a realistic and unswerving manner. A scale ranging 1 to 9 was used where 1 indicated ‘least valued than’ and 9 denoted ‘absolutely more important’ (Soham and Rajiv 2013, p. 585). In analytical hierarchy process, pairwise comparison of all factors is undertaken and each denoted by a number from the scale of 1 – equally important, 3 - slightly more important, 5 – More important, 7 – Strongly more important, and 9 – Absolutely more important. A matrix if formed by these comparisons where if ‘X’ and ‘Y’ are factors and ‘X’ is more important the ‘Y’, a higher number from the range 1-9 is indicated while when ‘Y’ is more important than ‘X’, then the reciprocal of the number from the scale is used (Al-Tabtabai 2002). The matrix is then normalised after which the relative priority is computed by summing the rows values of the normalised data and dividing by the number of factors under study.
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  • Summer '16
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  • Rajiv, Analytic Hierarchy Process, Analytical hierarchy, Relative Importance Index, non-physical occupational safety

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