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Genetic Algorithms-Based Fuzzy Analytical Hierarchical Process (GA-FAHP) for Evaluating Biofortified Crop Promotion Strategies


Affiliations
1 ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110 012, India
2 ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India
3 Indian Council of Medical Research, New Delhi 110 029, India
 

In developing nations such as India, malnutrition is a major nutritional and health challenge. Biofortification has the potential to be an effective instrument in India’s attempts to combat malnutrition. Expert opinion must be used to evaluate the factors related to the promotion, distribution and adoption of biofortified crops. The analytical hierarchy process (AHP) is one of the most often employed decision-making methods. However, conventional AHP is incapable of identifying ambiguity in human judgements. Fuzzy AHP has already been devised to overcome this limitation. Fuzzy AHP necessitates information in pairwise comparisons, which is not always easy to gather. In this context, the Fuzzy AHP technique based on the genetic algorithm has been proposed, which can compute the priority weight without using a pairwise comparison matrix by directly dealing with expert-provided data. The proposed approach has been illustrated using the opinions of 1600 farmers from Odisha, India.

Keywords

Biofortified Crops, Fuzzy AHP, Genetic Algorithm, Malnutrition.
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  • Genetic Algorithms-Based Fuzzy Analytical Hierarchical Process (GA-FAHP) for Evaluating Biofortified Crop Promotion Strategies

Abstract Views: 203  |  PDF Views: 105

Authors

K. N. Singh
ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110 012, India
Mrinmoy Ray
ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110 012, India
Satyapriya
ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India
Shashi Dahiya
ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110 012, India
Jaya Pandey
Indian Council of Medical Research, New Delhi 110 029, India
Rajeev R. Kumar
ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110 012, India

Abstract


In developing nations such as India, malnutrition is a major nutritional and health challenge. Biofortification has the potential to be an effective instrument in India’s attempts to combat malnutrition. Expert opinion must be used to evaluate the factors related to the promotion, distribution and adoption of biofortified crops. The analytical hierarchy process (AHP) is one of the most often employed decision-making methods. However, conventional AHP is incapable of identifying ambiguity in human judgements. Fuzzy AHP has already been devised to overcome this limitation. Fuzzy AHP necessitates information in pairwise comparisons, which is not always easy to gather. In this context, the Fuzzy AHP technique based on the genetic algorithm has been proposed, which can compute the priority weight without using a pairwise comparison matrix by directly dealing with expert-provided data. The proposed approach has been illustrated using the opinions of 1600 farmers from Odisha, India.

Keywords


Biofortified Crops, Fuzzy AHP, Genetic Algorithm, Malnutrition.

References





DOI: https://doi.org/10.18520/cs%2Fv125%2Fi3%2F317-320