Research Article
A Proposed Comparative Algorithm for Regional Crop Yield Assessment: An Application of Characteristic Objects Method
Table 5
Districtwise ranking of Punjab region with characteristic object method using triangular fuzzy numbers.
| Districts (Alternatives) | Above normal | Normal | Below normal | | Rank |
| Attock | 0 | 25 | 3 | 0.24232 | 26 | Bahawalnagar | 1 | 21 | 6 | 0.25515 | 25 | Bahawalpur | 0 | 25 | 3 | 0.36678 | 12 | Bhakhar | 2 | 21 | 5 | 0.29457 | 17 | Chakwal | 3 | 21 | 4 | 0.33400 | 14 | DGK | 0 | 20 | 8 | 0.20907 | 31 | Faisalabad | 15 | 3 | 10 | 0.73080 | 2 | Gujranwala | 3 | 12 | 13 | 0.27594 | 20 | Gujrat | 6 | 6 | 16 | 0.35961 | 13 | Hafizabad | 2 | 20 | 6 | 0.28793 | 18 | Islamabad | 0 | 14 | 14 | 0.16920 | 35 | Jhelum | 4 | 4 | 20 | 0.26923 | 23 | Jhang | 1 | 20 | 7 | 0.74919 | 1 | Kasur | 3 | 21 | 4 | 0.33400 | 14 | Khanewal | 7 | 18 | 3 | 0.47174 | 6 | Khushab | 5 | 20 | 3 | 0.40620 | 10 | Lahore | 0 | 24 | 4 | 0.23567 | 28 | Layyah | 5 | 16 | 7 | 0.37961 | 11 | Lodhran | 10 | 8 | 10 | 0.54120 | 5 | Mandibahudin | 2 | 23 | 3 | 0.30787 | 16 | Muzaffargarh | 6 | 19 | 3 | 0.43896 | 9 | Mianwali | 1 | 24 | 3 | 0.27509 | 21 | Multan | 3 | 9 | 16 | 0.25864 | 24 | Nankana sahib | 1 | 10 | 0 | 0.12020 | 36 | Narowal | 8 | 10 | 10 | 0.46153 | 7 | Okara | 0 | 25 | 3 | 0.24232 | 26 | Pakpattan | 11 | 7 | 10 | 0.58106 | 4 | Rajanpur | 0 | 20 | 8 | 0.20907 | 31 | RYK | 14 | 2 | 12 | 0.68901 | 3 | Rawalpindi | 0 | 17 | 11 | 0.18911 | 34 | Sahiwal | 1 | 16 | 11 | 0.22190 | 30 | Sargodha | 0 | 22 | 6 | 0.22237 | 29 | Sheikhpur | 2 | 20 | 6 | 0.28793 | 18 | Sialkot | 3 | 11 | 14 | 0.27018 | 22 | Toba teck singh | 6 | 20 | 2 | 0.44562 | 8 | Vehari | 0 | 18 | 10 | 0.19575 | 33 |
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