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Table 3 Fuzzy-AHP aggregated pairwise matrix

From: Selection of data analytic techniques by using fuzzy AHP TOPSIS from a healthcare perspective

 

F1

Capture

F2

Cleaning

F3

Storage

F4

Security

F5

Stewardship

F6

Querying

F7

Reporting

F8

Visualization

F9

Updating

F10

Sharing

F1

(Capture)

(1.000, 1.000, 1.000)

(0.9000, 1.1000, 1.4000)

(1.200, 1.500, 1.700)

(0.900, 1.000, 1.100)

(2.1000, 2.9000, 3.8000)

(1.1000, 1.3000, 1.6000)

(2.1000, 2.9000, 3.8000)

(0.9000, 1.1000, 1.4000)

(1.1000, 1.6000, 1.9000)

(1.000, 1.000, 1.000)

F2

(Cleaning)

-

(1.0000, 1.0000, 1.0000)

(1.100, 1.600, 1.900)

(1.800, 1.9000, 2.1000)

(2.7000, 3.4000, 4.0000)

(2.1000, 2.7000, 3.2000)

(2.7000, 3.4000, 4.0000)

(1.0000, 1.0000, 1.0000)

(1.0000, 1.0000, 1.0000)

(0.800, 0.900, 1.100)

F3

(Storage)

-

-

(1.000, 1.0000, 1.0000)

(1.400, 1.6000, 1.9000)

(1.7000, 2.2000, 2.9000)

(1.7000, 2.1000, 2.6000)

(1.7000, 2.2000, 2.9000)

(0.5000, 0.6000, 0.9000)

(0.5000, 0.6000, 0.7000)

(1.000, 1.000, 1.000)

F4

(Security)

-

-

-

(1.000, 1.0000, 1.0000)

(1.9000, 2.5000, 2.7000)

(1.6000, 2.5000, 2.6000)

(1.9000, 2.5000, 2.7000)

(0.5000, 0.5500, 0.6000)

(0.3000, 0.5000, 0.7000)

(0.300, 0.400, 0.500)

F5

(Stewardship)

-

-

-

-

(1.0000, 1.0000, 1.0000)

(1.0000, 1.1000, 1.3000)

(1.0000, 1.0000, 1.0000)

(0.3000, 0.3500, 0.4000)

(1.0000, 1.0000, 1.0000)

(1.100, 1.600, 1.900)

F6

(Querying)

-

-

-

-

-

(1.0000, 1.0000, 1.0000)

(0.8000, 0.9000, 1.1000)

(0.3000, 0.4000, 0.5000)

(0.8000, 0.9000, 1.1000)

(1.000, 1.0000, 1.0000)

F7

(Reporting)

-

-

-

-

-

-

(1.0000, 1.0000, 1.0000)

(2.7000, 3.4000, 4.0000)

(1.0000, 1.0000, 1.0000)

(0.500, 0.600, 0.700)

F8

(Visualization)

-

-

-

-

-

-

-

(1.0000, 1.0000, 1.0000)

(0.3000, 0.4000, 0.5000)

(0.300, 0.500, 0.700)

F9

(Updating)

-

-

-

-

-

-

-

-

(1.0000, 1.0000, 1.0000)

(1.100, 1.600, 1.900)

F10

(Sharing)

-

-

-

-

-

-

-

-

-

(1.000, 1.000, 1.000)