Fuzzy logical data mining and analysis of bamboo biomass knowledge engineering for energy happenstances

Abstract

Fuzzy logical analysis engineers knowledge discovery in existing data to resolve bamboo biomass energy happenstances. The problems are large kilo tons of oil equivalents from biomass use needing engendering for production, and applications without adverse impacts on livelihood, biodiversity and economic development. Data gathering approaches are data mining methods of existing data from Food and Agricultural Organization. Results in diagonal patterns show truth values of 0.54 and 0.46 for full and empty behaviours and other way around. Hypothesis 1 rejects null hypothesis and state a diagonal correlation exists between hectares of bamboo forests and species population. Hypothesis 2 shows values in diagonal patterns with similar results that tend to breakeven around 0.50. Therefore, reject null hypothesis and state a diagonal correlation exists between culms of bamboo forests and tons of yields. Encouraging creative understanding of bamboo biomass database management for economic development, livelihood and ecological sustainability gives conservation benediction.