Patent ID: 8515884

Claim:
A method of decision-making, comprising: inputting data from a plurality of first data sources into a first data bank; analyzing said input data by means of a first adaptive artificial neural network, said first artificial neural network comprising a plurality of layers having at least an input layer, at least one hidden layer, and an output layer, wherein each of said layers comprises a plurality of interconnected neurons, and wherein the number of neurons in said hidden layer which are utilized, is adaptive; determining the most important of said input data with said first artificial neural network, and defining therefrom a second artificial neural network; deriving from said second artificial neural network a plurality of Type-1 fuzzy sets for each of said plurality of first data sources which represent the data source, combining the Type-1 fuzzy sets to create a footprint of uncertainty for type-2 fuzzy sets; modeling a group decision; inputting data from a second data source, and assigning an aggregate score thereto; comparing said assigned aggregate score with a fuzzy set representing said group decision; and producing a decision therefrom.