Genetic algorithms-based fuzzy analytical hierarchical process (GA-FAHP) for evaluating biofortified crop promotion strategies

In developing nations such as India, malnutrition is a ma-jor 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 de-vised 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 -pro-vided data. The proposed approach has been illustrated using the opinions of 1600 farmers from Odisha, India.