id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-835	S. Shilpa Ivin Emimal	Solving Intuitionistic Fuzzy Unconstrained Optimization Problems Using Interval Newton’s Method	2024	14	.pdf	application/pdf	5539	232	56	…. (( �̃�𝐹𝑛𝐿+�̃�𝐹𝑛𝑈 2 ),( �̃�𝐹𝑛𝐿+�̃�𝐹𝑛𝑈 2 )) ) ] 𝑓′′ ( ( [ ((�̃�𝑇1, �̃�𝑇1) , (�̃�𝑇2, �̃�𝑇2) , … , (�̃�𝑇𝑛, �̃�𝑇𝑛)) ; ((�̃�𝐹1, �̃�𝐹1), (�̃�𝐹2, �̃�𝐹2) , … , (�̃�𝐹𝑛,�̃�𝐹𝑛)) ] ) ) ] ∩ ([ ((�̃�𝑇1𝐿 , �̃�𝑇1𝑈) , (�̃�𝑇2𝐿 , �̃�𝑇2𝑈) , … , (�̃�𝑇𝑛𝐿, �̃�𝑇𝑛𝑈)) ; ((�̃�𝐹1𝐿, �̃�𝐹1𝑈) , (�̃�𝐹2𝐿 , �̃�𝐹2𝑈) , … , (�̃�𝐹𝑛𝐿, �̃�𝐹𝑛𝑈)) ]) �̃�𝑘+1 𝐼 = ( [ (𝑚(�̃�𝑇1) , 𝑚(�̃�𝑇2) , … ,𝑚(�̃�𝑇𝑛)) ; (𝑚(�̃�𝐹1) ,𝑚(�̃�𝐹2) , … ,𝑚(�̃�𝐹𝑛)) ] − [ 𝑓′ 𝐼 (3.1.2) �̃�𝑘+1 𝐼 = [(𝑚(�̃�𝑇1) ,𝑚(�̃�𝑇2) , … ,𝑚(�̃�𝑇𝑛)) ; (𝑚(�̃�𝐹1) ,𝑚(�̃�𝐹2) , … ,𝑚(�̃�𝐹𝑛)) ] −[ 𝑓′[(𝑚(�̃�𝑇1) ,𝑚(�̃�𝑇2) ,…,𝑚(�̃�𝑇𝑛)) ;(𝑚(�̃�𝐹1) ,𝑚(�̃�𝐹2) ,…,𝑚(�̃�𝐹𝑛)) ] 𝑓′′([((�̃�𝑇1) ,(�̃�𝑇2) ,…,(�̃�𝑇𝑛)) ;((�̃�𝐹1) ,(�̃�𝐹2) ,…,(�̃�𝐹𝑛)) ]) ] ∩ ([((�̃�𝑇1) , (�̃�𝑇2) , … , (�̃�𝑇𝑛)) ; ((�̃�𝐹1) , (�̃�𝐹2) , … , (�̃�𝐹𝑛)) ]) where n den0tes the ℹntuiti0nistic fuzzy number.	cache/cana-835.pdf	txt/cana-835.txt