A Solution Approach for Agricultural Service Center Location Problem Using TOPSIS, DEA and SAW Techniques - Technology Management for Sustainable Production and Logistics - page 38

The sub-attribute which can be easily measured is defined (Table 2 ).
After defining the sub-attributes, related data has been generated/collected and
then normalized. The normalized data for a district of studied region (Boqrati) is
shown in Table 3 .
The result of FAHP survey for importance weight of objectives and attributes of
ASCLP are shown in Table 4 (Zangeneh et al. 2014 ).
Using the FAHP weights, the weighted score of attributes for each candidate
location has been calculated (Table 5 ). Also Shannon's entropy is calculated for all
regions and used for several MADM methods. The results of Shannon's entropy
for the Boqrati district have been showed in same table.
After calculating the weighted data, six MADM methods applied which their
results have been shown in Table 6 for Boqrati district. The ranking of alternatives
in other districts has been identified similar to Boqrati district (see Appendix 1).
The rankings of best alternatives for all districts are illustrated in Table 7 .

Table 2 The attribute and sub-attribute used for ASCLP
Attribute Sub-attribute

Distance to center of county
(maxi-min): C 11

Distance to center of district
(maxi-min): C 12

Easy support χ 1

Proximity to more population
and cultivated lands χ 2

The number of families
(maxi-max): C 21

Total cultivated area
(maxi-max): C 22

Total distance to other villages (maxi-min): C 31

Easy access χ 3

Number of tractors
(maxi-min): C 41

The value of mechanization
efficiency (maxi-min): C 42

Proximity to less tractor and
machinery availability χ 4

Proximity to more service
demand χ 5

The number of crop type
cultivated (maxi-max): C 51

The ratio of irrigated cultivated
land to dried cultivated land
(maxi-max): C 52

Table 3 The normalized sub-attribute data for Boqrati district
Candidate
locations

Sub-attributes
C 11 C 12 C 21 C 22 C 31 C 41 C 42 C 51 C 52

0.000 0.022 0.270 0.252 0.031 0.298 0.595 0.500 0.102

Urte-qamish

Baba-nazar 0.255 1.000 1.000 1.000 0.446 0.000 0.000 0.667 0.053

0.262 0.733 0.273 0.235 0.465 0.536 0.158 0.500 0.145

Tape-dibi

0.021 0.000 0.264 0.069 0.000 0.286 0.840 0.500 0.092

Chahar-bolaq

Churmagh 0.341 0.314 0.591 0.443 0.370 0.393 0.000 1.000 1.000

0.342 0.476 0.853 0.488 0.420 0.083 0.575 0.667 0.033

Qeinarje

0.387 0.167 0.389 0.313 0.289 0.405 0.234 1.000 0.832

Qaderkhalaj

Qarakand 0.047 0.297 0.251 0.406 0.220 0.488 0.000 1.000 0.185

0.440 0.110 0.155 0.125 0.222 0.905 0.000 0.333 0.000

Qalejuq-zamani

Qale-zandlij 0.122 0.592 0.138 0.304 0.372 0.690 0.306 0.333 0.000

Gunduz 0.148 0.616 0.519 0.592 0.401 0.274 0.337 0.667 0.029

0.398 0.182 0.084 0.222 0.294 0.821 0.000 1.000 0.272

Mazrae-deimur

Yarmche-baq 0.158 0.551 0.202 0.157 0.323 0.714 0.581 0.333 0.000