Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The use of supervised learning techniques for fitting ights and/or generator functions of ighted quasi-arithmetic means – a special class of idempotent and nondecreasing aggregation functions – to empirical data has already been considered in a number of papers. Nevertheless, there are still some important issues that have not been discussed in the literature yet. In the second part of this two-part contribution  deal with a quite common situation in which  have inputs coming from different sources, describing a similar phenomenon, but which have not been properly normalized. In such a case, idempotent and nondecreasing functions cannot be used to aggregate them unless proper preprocessing is performed. The proposed idempotization method, based on the notion of B-splines, allows for an automatic calibration of independent variables. The introduced technique is applied in an R source code plagiarism detection system.
['Maciej Bartoszuk', 'Gleb Beliakov', 'Marek Gagolewski', 'Simon James']
I am writing a research paper on a idea Fitting Aggregation Functions to Data: Part II - Idempotization
[{"from": "human", "value": "I am writing a research paper on a idea Fitting Aggregation Functions to Data: Part II - Idempotization"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The use of supervised learning techniques for fitting ights and/or generator functions of ighted quasi-arithmetic means \u2013 a special class of idempotent and nondecreasing aggregation functions \u2013 to empirical data has already been considered in a number of papers. Nevertheless, there are still some important issues that have not been discussed in the literature yet. In the second part of this two-part contribution  deal with a quite common situation in which  have inputs coming from different sources, describing a similar phenomenon, but which have not been properly normalized. In such a case, idempotent and nondecreasing functions cannot be used to aggregate them unless proper preprocessing is performed. The proposed idempotization method, based on the notion of B-splines, allows for an automatic calibration of independent variables. The introduced technique is applied in an R source code plagiarism detection system."}]