id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ejpam-6050	Kaviyarasu, M.; Alqahtani, Mohammed ; Rajeshwari, M.	Exponential Fuzzy Sets and Applications of AI-Powered Investment Decision-Making Using the Weighted Mean Method	2025	29	.pdf	application/pdf	8787	658	82	0.1487 s10 0.1726 0.1353 0.1737 Table 2: exponential fuzzy membership values for each stock Weighted Mean Aggregation Using the formula: ℵEG(s) Senior Analyst (Weight = w2 = 0.3) • E3: AI Model (Weight = w3 = 0.5) where ∑3 j=1wj = 1 and ⊺ = 2. Experts assign fuzzy membership values ℵAj (s) to each stock: Investments ℵA1(s) ℵA2(s) ℵA3(s) s1 0.3 0.4 0.5 s2 0.6 0.7 0.8 s3 0.8 0.9 1.0 s4 0.5 0.6 0.7 s5 0.9 1.0 0.9 s6 0.7 0.4 0.8 s7 0.5 1.0 0.3 s8 1.0 0.3 0.2 s9 0.1 0.5 0.9 s10 0.7 1.0 0.4 Table 1: Fuzzy Membership Values for Each Stock The exponential fuzzy membership formula is ℵEAj (s) = ℵAj (s)e −2ℵAj (s) (5.1) M. Kaviyarasu, M. Rajeshwari, M. Alqahtani / Eur.	cache/ejpam-6050.pdf	txt/ejpam-6050.txt