id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_zwzhhkduqrferjkjh7pv2i6ooa	Mikael Collan	A multi-expert system for ranking patents: An approach based on fuzzy pay-off distributions and a TOPSIS–AHP framework	2013	3	.pdf	application/pdf	2099	139	57	A multi-expert system for ranking patents: An approach based on fuzzy pay-off distributions and a TOPSISﾖAHP framework A multi-expert system for ranking patents: An approach based on fuzzy The aim of this paper is to introduce a decision support system that ranks patents based on multiple The presented approach starts with the creation of three value scenarios for each considered patent by each expert. functions for the patent value; a consensual fuzzy pay-off distribution is then determined starting from usability of the system and the combination of methods it includes for patent portfolio selection in the widespread practice of modeling the inaccurate and uncertain future cash-flows, and it can also be applied to patent analysis (Collan, Fuller, Mezei, & Wang, 2011). using cash-flow scenarios to create an asset's pay-off distribution The pay-off distributions for the patents by different experts are	./cache/work_zwzhhkduqrferjkjh7pv2i6ooa.pdf	./txt/work_zwzhhkduqrferjkjh7pv2i6ooa.txt