کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
390114 661215 2010 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Aggregation functions based on penalties
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Aggregation functions based on penalties
چکیده انگلیسی

This article studies a large class of averaging aggregation functions based on minimizing a distance from the vector of inputs, or equivalently, minimizing a penalty imposed for deviations of individual inputs from the aggregated value. We provide a systematization of various types of penalty based aggregation functions, and show how many special cases arise as the result. We show how new aggregation functions can be constructed either analytically or numerically and provide many examples. We establish connection with the maximum likelihood principle, and present tools for averaging experimental noisy data with distinct noise distributions.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuzzy Sets and Systems - Volume 161, Issue 10, 16 May 2010, Pages 1420-1436