Abstract
The study presents the effective approach that combines the ideal with non-ideal points, GRA, and possibility theory to handle uncertain information in selecting pest control methods within an MCDM problem. The proposed approach for selecting pest control methods can incorporate uncertainty information expressed by fuzzy numbers, possibilistic mean, and possibilistic variance. Decision-maker can comprehend the gaps between alternative solutions and the aspired outcomes, and it allows for the consideration of decision-making risks under a fuzzy environment. The study establishes an evaluation framework for selecting pest control methods by using the empirical study, and one obtains an appropriate pest control method for managing Tessaratoma papillosa in Taiwanese crops. Through the practical example, the proposed approach can be demonstrated the feasibility and efficiency.
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