Geometric time variant particle swarm optimization with fuzzy — AHP for pomology plant recommendation

Abstract

In Indonesia, one of the most popular commodities is pomology (fruit). But, in Indonesia, fruit production rate is not bigger than fruit consumption rate. Lack of fruit production in Indonesia can be caused by a various factor. One of the factors is production failure that caused by wrong fruit choice. That factor can happen because of the lack of farmer knowledge about compatibility between land and fruit Therefore it takes a program that can use to help farmer check if their land is compatible with one kind of fruit or not. FAHP-GTVPSO is one of the methods that can solve a problem with many determining factors inside iL This method is a combination of 2 previous methods. That 2 previous method is Fuzzy-AHP and Geometric Time Variant Particle Swarm Optimization (PSO). Particle Swarm Optimization method will be working to optimize criteria weight ratio that should be generated from AHP. From the test result, Spearman coefficient for comparing rank result in 3 lands and 10 fruit is 0.8598. Besides that from the classification result, we can obtain Spearman coefficient is 0.9659.